50+ Data engineering Jobs in India

About Fundly

• Fundly is building a retailer centric Pharma Supply Chain platform and Marketplace for over 10 million pharma retailers in India
• Founded by experienced industry professionals with cumulative experience of 30+ years
• Has grown to 60+ people in 12 cities in less than 2 years 4. Monthly disbursement of INR 50 Cr 5. Raised venture capital of USD 5M so far from Accel Partners which is biggest VC Fund of India

Opportunity at Fundly

• Building a retailer centric ecosystem in Pharma Supply Chain
• Fast growing– 3000+ retailers, 36000 Transactions and 200+ Cr disbursement in last 2 years
• Build new platform from scratch 

Responsibilities -

1. Collaborating with Product & Data teams to understand the business flows, information architecture

2. Designing and implementing scalable and fault tolerant Data platform for supporting Business Intelligence, Reporting and building AI/ML models

3. Ensure data accuracy and quality during ETL/ELT processes

4. Monitoring and managing infrastructure, ensuring optimal performance, security, and scalability.

5. Troubleshooting and resolving issues related to data pipelines and data accuracy

6. Ensuring compliance with industry best practices and organizational policies.

Qualifications -

1. A bachelor's degree in computer science, information technology, or a related field.

2. 2+ experience as Data Engineer in Azure Data Engineering stack or other relevant Data Engineering technologies/frameworks.

3. Strong Experience with cloud platforms, such as AWS, Azure, or Google Cloud.

4. Strong problem-solving skills and the ability to work under pressure. 5. Excellent communication and collaboration skills. 

Who are you -

1. Loves to understand and solve problems be it technology, business or people problems

2. Likes take responsibility and accountability

3. Loves to develop excellent technology solutions with modular design and follows good coding practices  

AI/ML Data Solution Architecture Ability to define data architecture strategy that align with business goals for AI use cases and ensures data availability & data accuracy. Ensuring data quality by implementing and enforcing data governance policies and best practices Technology evaluation & selection Execute Proof of concept and Proof of value for various technology solutions and frameworks Continuous Learning - Staying up to date with emerging technologies and trends in Data Engineering, AI / ML, and GenAI, and making recommendations for their adoption wherever appropriate Team Management Responsible for leading a team of data architects and data engineers, as well as coordinating with vendors and technology partners Collaboration & communication Collaborate and work closely with executives, stakeholder and business teams to effectively communicate architecture strategy & clearly articulate the business value.

Experience : 12 to 16 yrs

Work location : JP Nagar 3rd phase, South Bangalore. (Work from office role, IC role to begin with)

Suitable candidate be able to demonstrate strong experience in the following areas -

Data Engineering

• Hands-on experience with data engineering tools such as Talend (or Informatica or AbInitio), Databricks (or Spark), and HVR (or Attunity or Golden Gate or Equalum).
• Working knowledge of data build tools, Azure Data Factory, continuous integration and continuous delivery (CI/CD), automated testing, data lakes, data warehouses, big data, Collibra, and Unity Catalog
• Basic knowledge of building analytics applications using Azure Purview, Power BI, Spotfire, and Azure Machine Learning.

AI & ML -

• Conceptualize & design end-to-end solution view of sourcing data, pre-processing data, feature stores, model development, evaluation, deployment & governance
• Define model development best practices, create POVs on emerging AI trends, drive the proposal responses, help solving complex analytics problems and strategize the end-to-end implementation frameworks & methodologies
• Thorough understanding of database, streaming & analytics services offered by popular cloud platforms (Azure, AWS, GCP) and hands-on implementation of building machine learning pipeline with at least one of the popular cloud platforms
• Expertise on Large Language Model preferred with exposure to implementing generative AI using ChatGPT / Open AI and other models. Harvesting Models from open source will be an added advantage
• Good understanding of statistical analysis, data analysis and knowledge of data management & visualization techniques
• Exposure to other AI Platforms & products (Kore.ai, expert.ai, Dataiku etc.) desired
• Hands-on development experience in Python/R is a must and additional hands-on experience on few other procedural/object-oriented programming languages (Java, C#, C++) is desirable.
• Leadership skills to drive the AI/ML related conversation amidst CXO, Senior Leadership and making impactful presentations to customer organizations

Stakeholder Management & Communication Skills

• Excellent communication, negotiation, influencing and stakeholder management skills
• Preferred to have experience in project management, particularly in executing projects using Agile delivery frameworks
• Customer focus and excellent problem-solving skills

Qualification

• BE or MTech (BSc or MSc) in engineering, sciences, or equivalent relevant experience required.
• Total 13+ years of experience and 10+ years of experience in building/managing/administrating data and analytics applications is required
• Designing solution architecture and present the architecture in architecture review forums

Additional Qualifications

• Ability to define best practices for data governance, data quality, and data lineage, and to operationalize those practices.
• Proven track record of designing and delivering solutions that comply with industry regulations and legislation such as GxP, SoX, HIPAA, and GDPR.

For a startup run by a serial founder:

Job Description :

- Architect and develop our B2B platform, focusing on delivering an exceptional user experience.

- Recruit and mentor an engineering team to build scalable and reliable technology solutions.

- Work in tandem with co-founders to ensure technology strategies are well-aligned with business objectives.

- Manage technical architecture to guarantee performance, scalability, and adaptability for future needs.

- Drive innovation by adopting advanced technologies into our product development cycle.

- Promote a culture of technical excellence and collaborative spirit within the engineering team.

Qualifications :

- Over 8 years of experience in technology team management roles, with a proven track record in software development and system architecture + Dev Ops

- Entrepreneurial mindset with a strong interest in building and scaling innovative products.

- Exceptional leadership abilities with experience in team building and mentorship.

- Strategic thinker with a history of delivering effective technology solutions.

Skills :

- Expertise in modern programming languages and application frameworks.

- Deep knowledge of cloud platforms, databases, and system design principles.

- Excellent analytical, problem-solving, and decision-making skills.

- Strong communication skills with the ability to lead cross-functional teams effectively.

Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Data Engineer

Brief Posting Description:

This person will work independently or with a team of data engineers on cloud technology products, projects, and initiatives. Work with all customers, both internal and external, to make sure all data related features are implemented in each solution. Will collaborate with business partners and other technical teams across the organization as required to deliver proposed solutions.

Detailed Description:

·        Works with Scrum masters, product owners, and others to identify new features for digital products.

·        Works with IT leadership and business partners to design features for the cloud data platform.

·        Troubleshoots production issues of all levels and severities, and tracks progress from identification through resolution.

·        Maintains culture of open communication, collaboration, mutual respect and productive behaviors; participates in the hiring, training, and retention of top tier talent and mentors team members to new and fulfilling career experiences.

·        Identifies risks, barriers, efficiencies and opportunities when thinking through development approach; presents possible platform-wide architectural solutions based on facts, data, and best practices.

·        Explores all technical options when considering solution, including homegrown coding, third-party sub-systems, enterprise platforms, and existing technology components.

·        Actively participates in collaborative effort through all phases of software development life cycle (SDLC), including requirements analysis, technical design, coding, testing, release, and customer technical support.

·        Develops technical documentation, such as system context diagrams, design documents, release procedures, and other pertinent artifacts.

·        Understands lifecycle of various technology sub-systems that comprise the enterprise data platform (i.e., version, release, roadmap), including current capabilities, compatibilities, limitations, and dependencies; understands and advises of optimal upgrade paths.

·        Establishes relationships with key IT, QA, and other corporate partners, and regularly communicates and collaborates accordingly while working on cross-functional projects or production issues.

Job Requirements:

EXPERIENCE:

2 years required; 3 - 5 years preferred experience in a data engineering role.

2 years required, 3 - 5 years preferred experience in Azure data services (Data Factory, Databricks, ADLS, Synapse, SQL DB, etc.)

EDUCATION:

Bachelor’s degree information technology, computer science, or data related field preferred

SKILLS/REQUIREMENTS:

Expertise working with databases and SQL.

Strong working knowledge of Azure Data Factory and Databricks

Strong working knowledge of code management and continuous integrations systems (Azure DevOps or Github preferred)

Strong working knowledge of cloud relational databases (Azure Synapse and Azure SQL preferred)

Familiarity with Agile delivery methodologies

Familiarity with NoSQL databases (such as CosmosDB) preferred.

Any experience with Python, DAX, Azure Logic Apps, Azure Functions, IoT technologies, PowerBI, Power Apps, SSIS, Informatica, Teradata, Oracle DB, and Snowflake preferred but not required.

Ability to multi-task and reprioritize in a dynamic environment.

Outstanding written and verbal communication skills

Working Environment:

General Office – Work is generally performed within an office environment, with standard office equipment. Lighting and temperature are adequate and there are no hazardous or unpleasant conditions caused by noise, dust, etc. 

physical requirements:                     

Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. 

Mental requirements:

Employee required to organize and coordinate schedules.

Employee required to analyze and interpret complex data.

Employee required to problem-solve. 

Employee required to communicate with the public.

Role Overview

We are looking for a Tech Lead with a strong background in fintech, especially with experience or a strong interest in fraud prevention and Anti-Money Laundering (AML) technologies. 

This role is critical in leading our fintech product development, ensuring the integration of robust security measures, and guiding our team in Hyderabad towards delivering high-quality, secure, and compliant software solutions.

Responsibilities

• Lead the development of fintech solutions, focusing on fraud prevention and AML, using Typescript, ReactJs, Python, and SQL databases.
• Architect and deploy secure, scalable applications on AWS or Azure, adhering to the best practices in financial security and data protection.
• Design and manage databases with an emphasis on security, integrity, and performance, ensuring compliance with fintech regulatory standards.
• Guide and mentor the development team, promoting a culture of excellence, innovation, and continuous learning in the fintech space.
• Collaborate with stakeholders across the company, including product management, design, and QA, to ensure project alignment with business goals and regulatory requirements.
• Keep abreast of the latest trends and technologies in fintech, fraud prevention, and AML, applying this knowledge to drive the company's objectives.

Requirements

• 5-7 years of experience in software development, with a focus on fintech solutions and a strong understanding of fraud prevention and AML strategies.
• Expertise in Typescript, ReactJs, and familiarity with Python.
• Proven experience with SQL databases and cloud services (AWS or Azure), with certifications in these areas being a plus.
• Demonstrated ability to design and implement secure, high-performance software architectures in the fintech domain.
• Exceptional leadership and communication skills, with the ability to inspire and lead a team towards achieving excellence.
• A bachelor's degree in Computer Science, Engineering, or a related field, with additional certifications in fintech, security, or compliance being highly regarded.

Why Join Us?

• Opportunity to be at the cutting edge of fintech innovation, particularly in fraud prevention and AML.
• Contribute to a company with ambitious goals to revolutionize software development and make a historical impact.
• Be part of a visionary team dedicated to creating a lasting legacy in the tech industry.
• Work in an environment that values innovation, leadership, and the long-term success of its employees.

Skills required

-5+ years of software development experience.

-Excellent skills in Java and/or Scala programming, with expertise in backend architectures, messaging technologies, and related frameworks.

-Developing Data Pipelines (Batch/Streaming).Developing Complex data transformations, ETL Orchestration, Data Migration, Develop and Maintain Datawarehouse / Data Lakes.

-Extensive experience in complex SQL queries, database development, and data engineering, including the development of procedures, packages, functions, and handling exceptions.

-Knowledgeable in issue tracking tools (e.g., JIRA), code collaboration tools (e.g., Git/GitLab), and team collaboration tools (e.g., Confluence/Wiki).

Proficient in Linux/Unix, including shell scripting.

-Ability to translate business and architectural features into quality, consistent software design.

-Solid understanding of programming practices, emphasizin

Java/Scala + Data Engineer

Experience: 5-10 years

Location: Mumbai

Notice: Immediate to 30 days

Required Skills:

·       5+ years of software development experience.

·       Excellent skills in Java and/or Scala programming, with expertise in backend architectures, messaging technologies, and related frameworks.

·       Developing Data Pipelines (Batch/Streaming). Developing Complex data transformations, ETL Orchestration, Data Migration, Develop and Maintain Datawarehouse / Data Lakes.

·       Extensive experience in complex SQL queries, database development, and data engineering, including the development of procedures, packages, functions, and handling exceptions.

·       Knowledgeable in issue tracking tools (e.g., JIRA), code collaboration tools (e.g., Git/GitLab), and team collaboration tools (e.g., Confluence/Wiki).

·       Proficient in Linux/Unix, including shell scripting.

·       Ability to translate business and architectural features into quality, consistent software design.

·       Solid understanding of programming practices, emphasizing reusable, flexible, and reliable code.

🚀 Exciting Opportunity: Data Engineer Position in Gurugram 🌐

Hello 

We are actively seeking a talented and experienced Data Engineer to join our dynamic team at Reality Motivational Venture in Gurugram (Gurgaon). If you're passionate about data, thrive in a collaborative environment, and possess the skills we're looking for, we want to hear from you!

Position: Data Engineer  

Location: Gurugram (Gurgaon)  

Experience: 5+ years 

Key Skills:

- Python

- Spark, Pyspark

- Data Governance

- Cloud (AWS/Azure/GCP)

Main Responsibilities:

- Define and set up analytics environments for "Big Data" applications in collaboration with domain experts.

- Implement ETL processes for telemetry-based and stationary test data.

- Support in defining data governance, including data lifecycle management.

- Develop large-scale data processing engines and real-time search and analytics based on time series data.

- Ensure technical, methodological, and quality aspects.

- Support CI/CD processes.

- Foster know-how development and transfer, continuous improvement of leading technologies within Data Engineering.

- Collaborate with solution architects on the development of complex on-premise, hybrid, and cloud solution architectures.

Qualification Requirements:

- BSc, MSc, MEng, or PhD in Computer Science, Informatics/Telematics, Mathematics/Statistics, or a comparable engineering degree.

- Proficiency in Python and the PyData stack (Pandas/Numpy).

- Experience in high-level programming languages (C#/C++/Java).

- Familiarity with scalable processing environments like Dask (or Spark).

- Proficient in Linux and scripting languages (Bash Scripts).

- Experience in containerization and orchestration of containerized services (Kubernetes).

- Education in database technologies (SQL/OLAP and Non-SQL).

- Interest in Big Data storage technologies (Elastic, ClickHouse).

- Familiarity with Cloud technologies (Azure, AWS, GCP).

- Fluent English communication skills (speaking and writing).

- Ability to work constructively with a global team.

- Willingness to travel for business trips during development projects.

Preferable:

- Working knowledge of vehicle architectures, communication, and components.

- Experience in additional programming languages (C#/C++/Java, R, Scala, MATLAB).

- Experience in time-series processing.

How to Apply:

Interested candidates, please share your updated CV/resume with me.

Thank you for considering this exciting opportunity.

A candidate with 2 to 6 years of relevant experience in Snowflakes Data Cloud.

Mandatory Skills:

• Excellent knowledge in Snowflakes Data Cloud.

• Excellent knowledge in SQL

• Good knowledge in ETL

• Must have working knowledge of Azure Data Factory

• Must have general awareness of Azure Cloud

• Must be aware of optimization techniques in Data retrieval and Data loading.

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.

Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.

What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.

Note :

Product based companies, Ecommerce companies is added advantage

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

We are looking for a passionate technologist with experience in building SaaS tech experience and products for a once-in-a-lifetime opportunity to lead Engineering for an AI powered Financial Operations platform to seamlessly monitor, optimize, reconcile and forecast cashflow with ease.

Background

An incredible rare opportunity for a VP Engineering to join a top tier incubated VC SaaS startup and outstanding management team. Product is currently in the build stage with a solid design partners pipeline of ~$250K and soon raising a pre-seed/seed round with marquee investors.

Responsibilities

• Develop and implement the company's technical strategy and roadmap, ensuring that it aligns with the overall business objectives and is scalable, reliable, and secure.

• Manage and optimize the company's technical resources, including staffing, software, hardware, and infrastructure, to ensure that they are being used effectively and efficiently.

• Work with the founding team and other executives to identify opportunities for innovation and new technology solutions, and evaluate the feasibility and impact of these solutions on the business.

• Lead the engineering function in developing and deploying high-quality software products and solutions, ensuring that they meet or exceed customer requirements and industry standards.

• Analyze and evaluate technical data and metrics, identifying areas for improvement and implementing changes to drive efficiency and effectiveness.

• Ensure that the company is in compliance with all legal and regulatory requirements, including data privacy and security regulations.

Eligibility criteria:

• 6+ years of experience in developing scalable SaaS products.

• Strong technical background with 6+ years of experience with a strong focus on SaaS, AI, and finance software.

• Prior experience in leadership roles.

• Entrepreneurial mindset, with a strong desire to innovate and grow a startup from the ground up.

Perks:

• Vested Equity.

• Ownership in the company.

• Build alongside passionate and smart individuals.

1. Flink Sr. Developer

Location: Bangalore(WFO)

Mandatory Skills & Exp -10+ Years : Must have Hands on Experience on FLINK, Kubernetes , Docker, Microservices, any one of Kafka/Pulsar, CI/CD and Java.

Job Responsibilities:

As the Data Engineer lead, you are expected to engineer, develop, support, and deliver real-time

streaming applications that model real-world network entities, and have a good understanding of the

Telecom Network KPIs to improve the customer experience through automation of operational network

data. Real-time application development will include building stateful in-memory backends, real-time

streaming APIs , leveraging real-time databases such as Apache Druid.

 Architecting and creating the streaming data pipelines that will enrich the data and support

the use cases for telecom networks

 Collaborating closely with multiple stakeholders, gathering requirements and seeking

iterative feedback on recently delivered application features.

 Participating in peer review sessions to provide teammates with code review as well as

architectural and design feedback.

 Composing detailed low-level design documentation, call flows, and architecture diagrams

for the solutions you build.

 Running to a crisis anytime the Operations team needs help.

 Perform duties with minimum supervision and participate in cross-functional projects as

scheduled.

Skills:

 Flink Sr. Developer, who has implemented and dealt with failure scenarios of

processing data through Flink.

 Experience with Java, K8S, Argo CD/Workflow, Prometheus, and Aether.

 Familiarity with object-oriented design patterns.

 Experience with Application Development DevOps Tools.

 Experience with distributed cloud-native application design deployed on Kubernetes

platforms.

 Experience with PostGres, Druid, and Oracle databases.

 Experience with Messaging Bus - Kafka/Pulsar

 Experience with AI/ML - Kubeflow, JupyterHub

 Experience with building real-time applications which leverage streaming data.

 Experience with streaming message bus platforming, either Kafka or Pulsar.

 Experience with Apache Spark applications and Hadoop platforms.

 Strong problem solving skills.

 Strong written and oral communication skills.

Job description Position: Data Engineer Experience: 6+ years Work Mode: Work from Office Location: Bangalore Please note: This position is focused on development rather than migration. Experience in Nifi or Tibco is mandatory.Mandatory Skills: ETL, DevOps platform, Nifi or Tibco We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will play a crucial role in developing and maintaining our data infrastructure and ensuring the smooth operation of our data platforms. The ideal candidate should have a strong background in advanced data engineering, scripting languages, cloud and big data technologies, ETL tools, and database structures.

Responsibilities: •  Utilize advanced data engineering techniques, including ETL (Extract, Transform, Load), SQL, and other advanced data manipulation techniques. •   Develop and maintain data-oriented scripting using languages such as Python. •   Create and manage data structures to ensure efficient and accurate data storage and retrieval. •   Work with cloud and big data technologies, specifically AWS and Azure stack, to process and analyze large volumes of data. •   Utilize ETL tools such as Nifi and Tibco to extract, transform, and load data into various systems. •   Have hands-on experience with database structures, particularly MSSQL and Vertica, to optimize data storage and retrieval. •   Manage and maintain the operations of data platforms, ensuring data availability, reliability, and security. •   Collaborate with cross-functional teams to understand data requirements and design appropriate data solutions. •   Stay up-to-date with the latest industry trends and advancements in data engineering and suggest improvements to enhance our data infrastructure.

Requirements: •  A minimum of 6 years of relevant experience as a Data Engineer. •  Proficiency in ETL, SQL, and other advanced data engineering techniques. •   Strong programming skills in scripting languages such as Python. •   Experience in creating and maintaining data structures for efficient data storage and retrieval. •   Familiarity with cloud and big data technologies, specifically AWS and Azure stack. •   Hands-on experience with ETL tools, particularly Nifi and Tibco. •   In-depth knowledge of database structures, including MSSQL and Vertica. •   Proven experience in managing and operating data platforms. •   Strong problem-solving and analytical skills with the ability to handle complex data challenges. •   Excellent communication and collaboration skills to work effectively in a team environment. •   Self-motivated with a strong drive for learning and keeping up-to-date with the latest industry trends.

Requirements:

● Understanding our data sets and how to bring them together.

● Working with our engineering team to support custom solutions offered to the product development.

● Filling the gap between development, engineering and data ops.

● Creating, maintaining and documenting scripts to support ongoing custom solutions.

● Excellent organizational skills, including attention to precise details

● Strong multitasking skills and ability to work in a fast-paced environment

● 5+ years experience with Python to develop scripts.

● Know your way around RESTFUL APIs.[Able to integrate not necessary to publish]

● You are familiar with pulling and pushing files from SFTP and AWS S3.

● Experience with any Cloud solutions including GCP / AWS / OCI / Azure.

● Familiarity with SQL programming to query and transform data from relational Databases.

● Familiarity to work with Linux (and Linux work environment).

● Excellent written and verbal communication skills

● Extracting, transforming, and loading data into internal databases and Hadoop

● Optimizing our new and existing data pipelines for speed and reliability

● Deploying product build and product improvements

● Documenting and managing multiple repositories of code

● Experience with SQL and NoSQL databases (Casendra, MySQL)

● Hands-on experience in data pipelining and ETL. (Any of these frameworks/tools: Hadoop, BigQuery,

RedShift, Athena)

● Hands-on experience in AirFlow

● Understanding of best practices, common coding patterns and good practices around

● storing, partitioning, warehousing and indexing of data

● Experience in reading the data from Kafka topic (both live stream and offline)

● Experience in PySpark and Data frames

Responsibilities:

You’ll

● Collaborating across an agile team to continuously design, iterate, and develop big data systems.

● Extracting, transforming, and loading data into internal databases.

● Optimizing our new and existing data pipelines for speed and reliability.

● Deploying new products and product improvements.

● Documenting and managing multiple repositories of code.

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. 

If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Write efficient code in - PySpark, Amazon Glue
• Write SQL Queries in - Amazon Athena, Amazon Redshift
• Explore new technologies and learn new techniques to solve business problems creatively
• Collaborate with many teams - engineering and business, to build better data products and services 
• Deliver the projects along with the team collaboratively and manage updates to customers on time

What are we looking for?

• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
• 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
• 2+ years of experience in SQL queries and stored procedures
• Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+

You will be preferred if you have

• Prior experience in working on AWS EMR, Apache Airflow
• Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
• Understanding of DataOps Engineering

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

I am looking for Mulesoft Developer for a reputed MNC

Experience: 6+ Years

Relevant experience: 4 Years

Location : Pune, Mumbai, Bangalore, Indore, Kolkata

Skills:

Mulesoft

Experience: 6+ Years

Relevant experience: 4 Years

Location : Pune, Mumbai, Bangalore, Indore, Kolkata

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

This role is focused on Growth initiatives at cure.fit. As a Growth PM, you will be responsible for driving growth in users, revenue via a data-driven, experiment-based, systematic approach to growth and execute on key growth initiatives to achieve growth targets. Key responsibilities: - Identify levers and opportunities using which we can have more users, higher sales, better engagement - Build and deploy experiments to capitalise on these opportunities - Identify what works and what doesn't and scale up/down experiments accordingly - Develop a deep understanding of customers and engagement loops - Productify key learning’s from the experiments - Participate in tactical sales or marketing initiatives - Over time, build a growth machinery and systematised approach to driving growth - Strengthen capabilities in key areas such as SEO/ASO/Content/Referral This is a foundational role on the team and you will have the one-of-a-kind opportunity to develop a deep understanding of the core business/engagement loops and have high degree of impact. PMs on the team enjoy high degree of responsibility and ownership. You will work closely with Sales, Marketing and Technology teams to conceptualise, plan, execute and productize growth initiatives.

Looking for:

Understanding of consumer behaviour and psychology

We are looking for PMs/Engineers/Marketers with 3+ years of PM/Software Engineering experience in building consumer software products. You are very customer focused and have a strong understanding of the customer behaviour and psychology to come up with ideas and hypothesis to drive growth. You care not just about the technology but also the psychology that makes great products.

Impact orientation, curiosity, and hacker-mindset

You are impact-oriented and are constantly looking to achieve scale and leverage by leveraging data and consumer insights. You are highly curious and eager to learn/develop intelligence - you are never satisfied by just knowing “what happened” but are keen to understand “why it happened”. You have a hacker mindset and a sense of hustle which you use for prioritizing and bringing ideas to life.

Strong analytical and scrappy technical skills

You have 3+ years of experience as a PM or as a Software Engineer focused on building consumer products, especially on mobile devices (apps, progressive web). You come with analytical and data operations skills (ETL) and you are largely self-sufficient in pulling and analyzing data and deriving sound conclusions.

Skill set:

• Prior experience of 3+ years in building consumer products
• Strong understanding of hypothesis-driven, data-backed experimentation
• Strong analytical and data engineering skills

Digital and Technology Architecture

• Head the digital transformation and innovation projects from idea generation to new ventures in close collaboration with business stakeholders and external partners
• Present the vision & value of proposed architectures and solutions to a wide range of audiences in alignment with business priorities and objectives
• Plans tasks and estimates for the required research and volume of activities to complete work
• Own and assess non-functional requirements and propose solutions for Availability, Backup, Capacity, Performance, Redundancy, Reliability, Scalability, Supportability, Risks and Costs models
• Provide strategic guidance to teams on managing third-party service providers in terms of service levels, costing, etc.
• Drive the team to ensure appropriate documentation is developed in support of value realization
• Lead the technical team and head collaboration between Business Users and software providers to build digital solutions

Enterprise Architecture

• Ownership of overall Enterprise Architecture including compliances and standards
• Head the overall Architecture blueprint and roadmap for  applications aligning with Enterprise Architecture
• Identify important potential technologies and approaches to address current and future Enterprise needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use

Data Architecture

• Ownership of overall Data Architecture including compliances and standards
• Head the overall Architecture blueprint and roadmap applications aligning with Data Architecture
• Identify important potential technologies and approaches to address current and future Data needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use

• The incumbent should have hands on experience in data engineering and GCP data technologies.

• Should Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.

• Should Work with Agile and DevOps techniques and implementation approaches in the delivery.

• Showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.

• Build and deliver Data solutions using GCP products and offerings.
• Have hands on Experience on Python 
Experience on SQL or MySQL. Experience on Looker is an added advantage.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Since 1988 Quicken has been the top personal management software for millions of consumers. We pioneered a radically easier and faster way for people to manage their household finances. Since then we’ve continued to focus on delighting customers and making the Quicken product and experience better than ever.

Job Title:        Senior Data Engineer

Location:        Bangalore, India

Department:  Product Development

Quicken is the #1 personal finance management software with a 30-year heritage of helping millions of individuals and families stay on top of their finances. We are working on a strategy to deliver awesome personal finance experience to our customers across Windows, Mac, iOS, Android, and Web.

The successful candidate will join a fast-paced software development team building the next generation of Quicken Data Platform. The team uses the latest software development technology and tools.

If you are looking to be part of a high-performing team at the heart of a fun, energetic, and innovative company, come join the Quicken Team!

Responsibilities:

This is an opportunity to be a highly visible and key contributor on a small and passionate team delivering innovative data platform solutions across the company. You’ll help shape and deliver on an aggressive and innovative roadmap in areas key to Quicken’s continued success and growth.

• Senior Data Engineer role is a technical hands-on role. The responsibilities range from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
• Implement, or operate comprehensive data platform components to balance optimization of data access with batch loading and resource utilization factors, per customer requirements.
• Develop robust data platform components for sourcing, loading, transformation, and extracting data from various sources.
• Build metadata processes and frameworks.
• Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
• Maintain standards, such as organization, structure, or nomenclature, for data platform elements, such as data architectures, pipelines, frameworks, models, tools, and databases.
• Implement business rules via scripts, middleware, or other technologies.
• Map data between source systems and data lake
• Ability to be independent and product high quality code on components related to the Data Platform. Should also possess Creativity, Responsibility, and Autonomy.
• Participate in the planning, design, and implementation of features, working with small teams that consist of engineers, product managers, and marketing.
• Demonstrate strong technical talent throughout the organization and engineer products that meet future scalability, performance, security, and quality goals while maintaining a cohesive user experience across different components and products.
• Adopt and share best practices of software development methodology and frameworks used in data platform.
• Passion for continuous learning, experimenting and applying cutting edge technology and software paradigms. Also responsible for fostering this culture across the team.

Qualifications: 

• 3+ years of hands-on experience with data platform technologies and tools
• Extensive experience in Python
• Should be comfortable with using REST APIs
• Experience in  at  least  2  of  the  3  stages  of  any  big  data  pipeline  -  data

ingestion/acquisition, data processing/transformation and data visualization

• Experience in  database  user  interface  and  query  software  -  Structured  query language (SQL)
• Experience in one or more structured DBMS along with data modelling – MySQL
• Nice to have working experience in big data processing frameworks like Spark
• Nice to have working knowledge on visualization tools like Tableau, Kibana, Amazon QuickSight
• Nice to have familiarity in AWS EMR, Kinesis, EC2, S3, AWS Glue
• Experience working with geographically distributed teams across different time zones
• Strong communication skills, both oral and written whether in-person or virtual
• Experience with Agile methodologies
• Bachelor’s degree in computer science or other technical discipline, or equivalent experience

What we offer:

• Competitive salary and performance bonus
• Amazing culture, strong believers in Autonomy/Mastery/Purpose
• Customer-driven, we make money by building the best products for our users. No confusion about how to win – build amazing products!
• Ability to work with and learn from some incredible talent
• Highly recognizable brand

We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.

We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.

Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!

Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc. 

Key Responsibilities

• Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality

• Work with the Office of the CTO as an active member of our architecture guild

• Writing pipelines to consume the data from multiple sources

• Writing a data transformation layer using DBT to transform millions of data into data warehouses.

• Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities

• Identify downstream implications of data loads/migration (e.g., data quality, regulatory)

What To Bring

• 5+ years of software development experience, a startup experience is a plus.

• Past experience of working with Airflow and DBT is preferred

• 5+ years of experience working in any backend programming language. 

• Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL

• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)

• Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects

• Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure

• Basic understanding of Kubernetes & docker is a must.

• Experience in data processing (ETL, ELT) and/or cloud-based platforms

• Working proficiency and communication skills in verbal and written English.

About Slintel (a 6sense company) :

Slintel, a 6sense company,  the leader in capturing technographics-powered buying intent, helps companies uncover the 3% of active buyers in their target market. Slintel evaluates over 100 billion data points and analyzes factors such as buyer journeys, technology adoption patterns, and other digital footprints to deliver market & sales intelligence.

Slintel's customers have access to the buying patterns and contact information of more than 17 million companies and 250 million decision makers across the world.

Slintel is a fast growing B2B SaaS company in the sales and marketing tech space. We are funded by top tier VCs, and going after a billion dollar opportunity. At Slintel, we are building a sales development automation platform that can significantly improve outcomes for sales teams, while reducing the number of hours spent on research and outreach.

We are a big data company and perform deep analysis on technology buying patterns, buyer pain points to understand where buyers are in their journey. Over 100 billion data points are analyzed every week to derive recommendations on where companies should focus their marketing and sales efforts on. Third party intent signals are then clubbed with first party data from CRMs to derive meaningful recommendations on whom to target on any given day.

6sense is headquartered in San Francisco, CA and has 8 office locations across 4 countries.

6sense, an account engagement platform, secured $200 million in a Series E funding round, bringing its total valuation to $5.2 billion 10 months after its $125 million Series D round. The investment was co-led by Blue Owl and MSD Partners, among other new and existing investors.

Linkedin (Slintel) : https://www.linkedin.com/company/slintel/">https://www.linkedin.com/company/slintel/

Industry : Software Development

Company size : 51-200 employees (189 on LinkedIn)

Headquarters : Mountain View, California

Founded : 2016

Specialties : Technographics, lead intelligence, Sales Intelligence, Company Data, and Lead Data.

Website (Slintel) : https://www.slintel.com/slintel">https://www.slintel.com/slintel

Linkedin (6sense) : https://www.linkedin.com/company/6sense/">https://www.linkedin.com/company/6sense/

Industry : Software Development

Company size : 501-1,000 employees (937 on LinkedIn)

Headquarters : San Francisco, California

Founded : 2013

Specialties : Predictive intelligence, Predictive marketing, B2B marketing, and Predictive sales

Website (6sense) : https://6sense.com/">https://6sense.com/

Acquisition News : 

https://inc42.com/buzz/us-based-based-6sense-acquires-b2b-buyer-intelligence-startup-slintel/ 

Funding Details & News :

Slintel funding : https://www.crunchbase.com/organization/slintel">https://www.crunchbase.com/organization/slintel

6sense funding : https://www.crunchbase.com/organization/6sense">https://www.crunchbase.com/organization/6sense

https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round">https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round

https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round">https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round

https://xipometer.com/en/company/6sense">https://xipometer.com/en/company/6sense

Slintel & 6sense Customers :

https://www.featuredcustomers.com/vendor/slintel/customers

https://www.featuredcustomers.com/vendor/6sense/customers">https://www.featuredcustomers.com/vendor/6sense/customers

Responsibilities

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elastic search, MongoDB, and AWS technology
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems
  
  

Requirements

• 3+ years of experience in a Data Engineer role
• Proficiency in Linux
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena
• Must have experience with Python/ Scala
• Must have experience with Big Data technologies like Apache Spark
• Must have experience with Apache Airflow
• Experience with data pipeline and ETL tools like AWS Glue
• Experience working with AWS cloud services: EC2 S3 RDS, Redshift and other Data solutions eg. Databricks, Snowflake

Python, SQL, Scala, Spark, ETL

Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.

Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.

• Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.

• Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.

• Perform data analysis required to solve data related issues and assist in the resolution of data issues.

• Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.

• 3-6 years of relevant work experience in a Data Engineering role.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience building and optimising data pipelines, architectures and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.

Our client is the world’s largest media investment company and are a part of WPP. In fact, they are responsible for one in every three ads you see globally. We are currently looking for a Senior Software Engineer to join us. In this role, you will be responsible for coding/implementing of custom marketing applications that Tech COE builds for its customer and managing a small team of developers.

What your day job looks like:

• Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics
• Develop data extraction and manipulation code based on business rules
• Develop automated and manual test cases for the code written
• Design and construct data store and procedures for their maintenance
• Perform data extract, transform, and load activities from several data sources.
• Develop and maintain strong relationships with stakeholders
• Write high quality code as per prescribed standards.
• Participate in internal projects as required

 
Minimum qualifications:

• B. Tech./MCA or equivalent preferred
• Excellent 3 years Hand on experience on Big data, ETL Development, Data Processing.

    What you’ll bring:

• Strong experience in working with Snowflake, SQL, PHP/Python.
• Strong Experience in writing complex SQLs
• Good Communication skills
• Good experience of working with any BI tool like Tableau, Power BI.
• Sqoop, Spark, EMR, Hadoop/Hive are good to have.

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

Big Data Engineer/Data Engineer


What we are solving
Welcome to today’s business data world where:
• Unification of all customer data into one platform is a challenge

• Extraction is expensive
• Business users do not have the time/skill to write queries
• High dependency on tech team for written queries

These facts may look scary but there are solutions with real-time self-serve analytics:
• Fully automated data integration from any kind of a data source into a universal schema
• Analytics database that streamlines data indexing, query and analysis into a single platform.
• Start generating value from Day 1 through deep dives, root cause analysis and micro segmentation

At Propellor.ai, this is what we do.
• We help our clients reduce effort and increase effectiveness quickly
• By clearly defining the scope of Projects
• Using Dependable, scalable, future proof technology solution like Big Data Solutions and Cloud Platforms
• Engaging with Data Scientists and Data Engineers to provide End to End Solutions leading to industrialisation of Data Science Model Development and Deployment

What we have achieved so far
Since we started in 2016,
• We have worked across 9 countries with 25+ global brands and 75+ projects
• We have 50+ clients, 100+ Data Sources and 20TB+ data processed daily

Work culture at Propellor.ai
We are a small, remote team that believes in
• Working with a few, but only with highest quality team members who want to become the very best in their fields.
• With each member's belief and faith in what we are solving, we collectively see the Big Picture
• No hierarchy leads us to believe in reaching the decision maker without any hesitation so that our actions can have fruitful and aligned outcomes.
• Each one is a CEO of their domain.So, the criteria while making a choice is so our employees and clients can succeed together!

To read more about us click here:
https://bit.ly/3idXzs0" target="_blank">https://bit.ly/3idXzs0

About the role
We are building an exceptional team of Data engineers who are passionate developers and wants to push the boundaries to solve complex business problems using the latest tech stack. As a Big Data Engineer, you will work with various Technology and Business teams to deliver our Data Engineering offerings to our clients across the globe.

Role Description
• The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing, and visualizing large sets of data to turn information into business insights
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scalable solutions
• Build the knowledge base required to deliver increasingly complex technology projects
• The role would also involve testing various machine learning models on Big Data and deploying learned models for ongoing scoring and prediction.

Education & Experience
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE 3+ years of experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions.

Must have (hands-on) experience
• Python and SQL expertise
• Distributed computing frameworks (Hadoop Ecosystem & Spark components)
• Must be proficient in any Cloud computing platforms (AWS/Azure/GCP)  • Experience in in any cloud platform would be preferred - GCP (Big Query/Bigtable, Pub sub, Data Flow, App engine )/ AWS/ Azure

• Linux environment, SQL and Shell scripting Desirable
• Statistical or machine learning DSL like R
• Distributed and low latency (streaming) application architecture
• Row store distributed DBMSs such as Cassandra, CouchDB, MongoDB, etc
. • Familiarity with API design

Hiring Process:
1. One phone screening round to gauge your interest and knowledge of fundamentals
2. An assignment to test your skills and ability to come up with solutions in a certain time
3. Interview 1 with our Data Engineer lead
4. Final Interview with our Data Engineer Lead and the Business Teams

Preferred Immediate Joiners

AWS Data Engineer:

Job Description

• 3+ years of experience in AWS Data Engineering.

• Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data

• Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)

• Should have knowledge in SQL and NoSQL programming languages.

• Have worked on batch and real time pipelines.

• Excellent programming and debugging skills in Scala or Python & Spark.

• Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.

• Must have experience in Production migration Process

• Nice to have experience with Power BI visualization tools and connectivity

Roles & Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications

• Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.

• Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.

• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.

• We are looking for : Data engineer
• Sprak
• Scala
• Hadoop

Looking Data Enginner for our OWn organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

• Design AWS data ingestion frameworks and pipelines based on the specific needs driven by the Product Owners and user stories…
• Experience building Data Lake using AWS and Hands-on experience in S3, EKS, ECS, AWS Glue, AWS KMS, AWS Firehose, EMR
• Experience Apache Spark Programming with Databricks
• Experience working on NoSQL Databases such as Cassandra, HBase, and Elastic Search
• Hands on experience with leveraging CI/CD to rapidly build & test application code
• Expertise in Data governance and Data Quality
• Experience working with PCI Data and working with data scientists is a plus
• At least 4+ years of experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS
• 5+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies