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As a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.

You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.

Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.

What you’ll do

• Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
• Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
• Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
• Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
• Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
• Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
• Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
• Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
• Ability to understand Conceptual/Logical/Physical Data Modelling.
• Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
• Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.

What you will Bring 

• 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
• Certifications in data engineering, analytics, cloud, AI will be a certain advantage
• Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
• Prior experience of working as a solution architect during presales cycle will be an advantage

Soft Skills

• Communication Skills
• Presentation Skills
• Flexible and Hard-working

Technical Skills

• Knowledge of Presales Processes
• Basic understanding of business analytics and AI
• High IQ and EQ

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

Job Summary: 

As a Data Engineering Lead, your role will involve designing, developing, and implementing interactive dashboards and reports using data engineering tools. You will work closely with stakeholders to gather requirements and translate them into effective data visualizations that provide valuable insights. Additionally, you will be responsible for extracting, transforming, and loading data from multiple sources into Power BI, ensuring its accuracy and integrity. Your expertise in Power BI and data analytics will contribute to informed decision-making and support the organization in driving data-centric strategies and initiatives.

We are looking for you!

As an ideal candidate for the Data Engineering Lead position, you embody the qualities of a team player with a relentless get-it-done attitude. Your intellectual curiosity and customer focus drive you to continuously seek new ways to add value to your job accomplishments.

You thrive under pressure, maintaining a positive attitude and understanding that your career is a journey. You are willing to make the right choices to support your growth. In addition to your excellent communication skills, both written and verbal, you have a proven ability to create visually compelling designs using tools like Power BI and Tableau that effectively communicate our core values. 

You build high-performing, scalable, enterprise-grade applications and teams. Your creativity and proactive nature enable you to think differently, find innovative solutions, deliver high-quality outputs, and ensure customers remain referenceable. With over eight years of experience in data engineering, you possess a strong sense of self-motivation and take ownership of your responsibilities. You prefer to work independently with little to no supervision. 

You are process-oriented, adopt a methodical approach, and demonstrate a quality-first mindset. You have led mid to large-size teams and accounts, consistently using constructive feedback mechanisms to improve productivity, accountability, and performance within the team. Your track record showcases your results-driven approach, as you have consistently delivered successful projects with customer case studies published on public platforms. Overall, you possess a unique combination of skills, qualities, and experiences that make you an ideal fit to lead our data engineering team(s).

You value inclusivity and want to join a culture that empowers you to show up as your authentic self. 

You know that success hinges on commitment, our differences make us stronger, and the finish line is always sweeter when the whole team crosses together. In your role, you should be driving the team using data, data, and more data. You will manage multiple teams, oversee agile stories and their statuses, handle escalations and mitigations, plan ahead, identify hiring needs, collaborate with recruitment teams for hiring, enable sales with pre-sales teams, and work closely with development managers/leads for solutioning and delivery statuses, as well as architects for technology research and solutions.

What You Will Do: 

• Analyze Business Requirements.
• Analyze the Data Model and do GAP analysis with Business Requirements and Power BI. Design and Model Power BI schema.
• Transformation of Data in Power BI/SQL/ETL Tool.
• Create DAX Formula, Reports, and Dashboards. Able to write DAX formulas.
• Experience writing SQL Queries and stored procedures.
• Design effective Power BI solutions based on business requirements.
• Manage a team of Power BI developers and guide their work.
• Integrate data from various sources into Power BI for analysis.
• Optimize performance of reports and dashboards for smooth usage.
• Collaborate with stakeholders to align Power BI projects with goals.
• Knowledge of Data Warehousing(must), Data Engineering is a plus

What we need?

• B. Tech computer science or equivalent
• Minimum 5+ years of relevant experience 

Why join us?

• Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
• Gain hands-on experience in content marketing with exposure to real-world projects.
• Opportunity to learn from experienced professionals and enhance your marketing skills.
• Contribute to exciting initiatives and make an impact from day one.
• Competitive stipend and potential for growth within the company.
• Recognized for excellence in data and AI solutions with industry awards and accolades.

Job Description :

As a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.

Responsibilities :

- Play a key role in driving a number of data and analytics initiatives including cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.

- Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.

- Guide the data science team in implementing data models and analytics models.

- Serve as a data science architect delivering technology and architecture services to the data science community.

- In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.

- Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.

- Define and maintain standards for artifacts containing architectural content within the operating model.

Requirements :

- Strong cloud data architecture knowledge (preference for Microsoft Azure)

- 8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.

- Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.

- Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final - recommendation.

- Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).

- Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.

- Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.

We are seeking skilled Data Engineers with prior experience on Azure data engineering services and SQL server to join our team. As a Data Engineer, you will be responsible for designing and implementing robust data infrastructure, building scalable data pipelines, and ensuring efficient data integration and storage.

Experience : 6 - 10 years

Notice : Immediate to 30days

Responsibilities :

- Design, develop, and maintain scalable data pipelines and use Azure Data Factory and Azure Stream Analytics

- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

- Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

- Implement data governance and security best practices to ensure compliance and data integrity.

- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

- Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Qualifications :

- Proven experience as a Data Engineer or in a similar role.

- Experience in designing and hands-on development in cloud-based (AWS/Azure) analytics solutions.

- Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure App Service, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics

- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.

- Experience in SQL server and procedures.

- Thorough understanding of Azure Infrastructure offerings.

- Strong experience in common data warehouse modelling principles including Kimball, Inmon.

- Experience in additional Modern Database terminologies.

- Working knowledge of Python or Java or Scala is desirable

- Strong knowledge of data modelling, ETL processes, and database technologies

- Experience with big data processing frameworks (Hadoop, Spark) and data pipeline orchestration tools (Airflow).

- Solid understanding of data governance, data security, and data quality best practices.

- Strong analytical and problem-solving skills, with attention to detail.

Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience on Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

Overview:

We are seeking a talented and experienced GCP Data Engineer with strong expertise in Teradata, ETL, and Data Warehousing to join our team. As a key member of our Data Engineering team, you will play a critical role in developing and maintaining data pipelines, optimizing ETL processes, and managing large-scale data warehouses on the Google Cloud Platform (GCP).

Responsibilities:

• Design, implement, and maintain scalable ETL pipelines on GCP (Google Cloud Platform).
• Develop and manage data warehouse solutions using Teradata and cloud-based technologies (BigQuery, Cloud Storage, etc.).
• Build and optimize high-performance data pipelines for real-time and batch data processing.
• Integrate, transform, and load large datasets into GCP-based data lakes and data warehouses.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Write efficient, clean, and reusable code for ETL processes and data workflows.
• Ensure data quality, consistency, and integrity across all pipelines and storage solutions.
• Implement data governance practices and ensure security and compliance of data processes.
• Monitor and troubleshoot data pipeline performance and resolve issues proactively.
• Participate in the design and implementation of scalable data architectures using GCP services like BigQuery, Cloud Dataflow, and Cloud Pub/Sub.
• Optimize and automate data workflows for continuous improvement.
• Maintain up-to-date documentation of data pipeline architectures and processes.

Requirements:

Technical Skills:

• Google Cloud Platform (GCP): Extensive experience with BigQuery, Cloud Storage, Cloud Dataflow, and Cloud Composer.
• ETL Tools: Expertise in building ETL pipelines using tools such as Apache NiFi, Apache Beam, or custom Python-based scripts.
• Data Warehousing: Strong experience working with Teradata for data warehousing, including data modeling, schema design, and performance tuning.
• SQL: Advanced proficiency in SQL and relational databases, particularly in the context of Teradata and GCP environments.
• Programming: Proficient in Python, Java, or Scala for building and automating data processes.
• Data Architecture: Knowledge of best practices in designing scalable data architectures for both structured and unstructured data.

Experience:

• Proven experience as a Data Engineer, with a focus on building and managing ETL pipelines and data warehouse solutions.
• Hands-on experience in data modeling and working with complex, high-volume data in a cloud-based environment.
• Experience with data migration from on-premises to cloud environments (Teradata to GCP).
• Familiarity with Data Lake concepts and technologies.
• Experience with version control systems like Git and working in Agile environments.
• Knowledge of CI/CD and automation processes in data engineering.

Soft Skills:

• Strong problem-solving and troubleshooting skills.
• Excellent communication skills, both verbal and written, for interacting with technical and non-technical teams.
• Ability to work collaboratively in a fast-paced, cross-functional team environment.
• Strong attention to detail and ability to prioritize tasks.

Preferred Qualifications:

• Experience with other GCP tools such as Dataproc, Bigtable, Cloud Functions.
• Knowledge of Terraform or similar infrastructure-as-code tools for managing cloud resources.
• Familiarity with data governance frameworks and data privacy regulations.
• Certifications in Google Cloud or Teradata are a plus.

Benefits:

• Competitive salary and performance-based bonuses.
• Health, dental, and vision insurance.
• 401(k) with company matching.
• Paid time off and flexible work schedules.
• Opportunities for professional growth and development.

 Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience on Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

We are seeking a highly skilled and experienced Offshore Data Engineer . The role involves designing, implementing, and testing data pipelines and products.

Qualifications & Experience:

bachelor's or master's degree in computer science, Information Systems, or a related field.

5+ years of experience in data engineering, with expertise in data architecture and pipeline development.

☁️ Proven experience with GCP, Big Query, Databricks, Airflow, Spark, DBT, and GCP Services.

️ Hands-on experience with ETL processes, SQL, PostgreSQL, MySQL, MongoDB, Cassandra.

Strong proficiency in Python and data modelling.

Experience in testing and validation of data pipelines.

Preferred: Experience with eCommerce systems, data visualization tools (Tableau, Looker), and cloud certifications.

If you meet the above criteria and are interested, please share your updated CV along with the following details:

Total Experience:

Current CTC:

Expected CTC:

Current Location:

Preferred Location:

Notice Period / Last Working Day (if serving notice):

⚠️ Kindly share your details only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Key Responsibilities:

• Lead Data Engineering Team: Provide leadership and mentorship to junior data engineers and ensure best practices in data architecture and pipeline design.
• Data Pipeline Development: Design, implement, and maintain end-to-end ETL (Extract, Transform, Load) processes to support analytics, reporting, and data science activities.
• Cloud Architecture (GCP): Architect and optimize data infrastructure on Google Cloud Platform (GCP), ensuring scalability, reliability, and performance of data systems.
• CI/CD Pipelines: Implement and maintain CI/CD pipelines using Jenkins and other tools to ensure the seamless deployment and automation of data workflows.
• Data Warehousing: Design and implement data warehousing solutions, ensuring optimal performance and efficient data storage using technologies like Teradata, Oracle, and SQL Server.
• Workflow Orchestration: Use Apache Airflow to orchestrate complex data workflows and scheduling of data pipeline jobs.
• Automation with Terraform: Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources.

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

Dear Candidate,

We are Urgently hiring QA Automation Engineers and Test leads At Hyderabad and Bangalore

Exp: 6-10 yrs

Locations: Hyderabad ,Bangalore

JD:

we are Hiring Automation Testers with 6-10 years of Automation testing experience using QA automation tools like Java, UFT, Selenium, API Testing, ETL & others

Must Haves:

·        Experience in Financial Domain is a must

·        Extensive Hands-on experience in Design, implement and maintain automation framework using Java, UFT, ETL, Selenium tools and automation concepts.

·        Experience with AWS concept and framework design/ testing.

·        Experience in Data Analysis, Data Validation, Data Cleansing, Data Verification and identifying data mismatch.

·        Experience with Databricks, Python, Spark, Hive, Airflow, etc.

·        Experience in validating and analyzing kubernetics log files.

·        API testing experience

·        Backend testing skills with ability to write SQL queries in Databricks and in Oracle databases

·        Experience in working with globally distributed Agile project teams

·        Ability to work in a fast-paced, globally structured and team-based environment, as well as independently

·        Experience in test management tools like Jira

·        Good written and verbal communication skills

Good To have:

• Business and finance knowledge desirable

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Worldwide Locations: USA | HK | IN 

Responsibilities include:  

• Develop and maintain data validation logic in our proprietary Control Framework tool 
• Actively participate in business requirement elaboration and functional design sessions to develop an understanding of our Operational teams’ analytical needs, key data flows and sources 
• Assist Operational teams in the buildout of Checklists and event monitoring workflows within our Enterprise Control Framework platform 
• Build effective working relationships with Operational users, Reporting and IT development teams and business partners across the organization 
• Conduct interviews, generate user stories, develop scenarios and workflow analyses  
• Contribute to the definition of reporting solutions that empower Operational teams to make immediate decisions as to the best course of action 
• Perform some business user acceptance testing 
• Provide production support and troubleshooting for existing operational dashboards  
• Conduct regular demos and training of new features for the stakeholder community 

Qualifications  

• Bachelor’s degree or equivalent in Business, Accounting, Finance, MIS, Information Technology or related field of study 
• Minimum 5 years’ of SQL required 
• Experience querying data on cloud platforms (AWS/ Azure/ Snowflake) required 
• Exceptional problem solving and analytical skills, attention to detail and organization 
• Able to independently troubleshoot and gather supporting evidence  
• Prior experience developing within a BI reporting tool (e.g. Spotfire, Tableau, Looker, Information Builders) a plus  
• Database Management and ETL development experience a plus 
• Self-motivated, self-assured, and self-managed  
• Able to multi-task to meet time-driven goals  
• Asset management experience, including investment operation a plus 

Job Summary:

We are looking for an experienced ETL Tester with 5 to 7 years of experience and expertise

in the banking domain. The candidate will be responsible for testing ETL processes,

ensuring data quality, and validating data flows in large-scale projects.

Key Responsibilities:

 Design and execute ETL test cases, ensuring data integrity and accuracy.

 Perform data validation using complex SQL queries.

 Collaborate with business analysts to define testing requirements.

 Track defects and work with developers to resolve issues.

 Conduct performance testing for ETL processes.

 Banking Domain Knowledge: Strong understanding of banking processes such as

payments, loans, credit, accounts, and regulatory reporting.

Required Skills:

 5-7 years of ETL testing experience.

 Strong SQL skills and experience with ETL tools (Informatica, SSIS, etc.).

 Knowledge of banking domain processes.

 Experience with test management tools (JIRA, HP ALM).

 Familiarity with Agile methodologies.

Location – Hyderabad

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Daily and monthly responsibilities

• Review and coordinate with business application teams on data delivery requirements.
• Develop estimation and proposed delivery schedules in coordination with development team.
• Develop sourcing and data delivery designs.
• Review data model, metadata and delivery criteria for solution.
• Review and coordinate with team on test criteria and performance of testing.
• Contribute to the design, development and completion of project deliverables.
• Complete in-depth data analysis and contribution to strategic efforts
• Complete understanding of how we manage data with focus on improvement of how data is sourced and managed across multiple business areas.

Basic Qualifications

• Bachelor’s degree.
• 5+ years of data analysis working with business data initiatives.
• Knowledge of Structured Query Language (SQL) and use in data access and analysis.
• Proficient in data management including data analytical capability.
• Excellent verbal and written communications also high attention to detail.
• Experience with Python.
• Presentation skills in demonstrating system design and data analysis solutions.

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

CTC Budget: 35-50LPA

Location: Hyderabad/Bangalore

Experience: 8+ Years

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

Work with, learn from, and contribute to a diverse, collaborative

development team

● Use plenty of PHP, Go, JavaScript, MySQL, PostgreSQL, ElasticSearch,

Redshift, AWS Services and other technologies

● Build efficient and reusable abstractions and systems

● Create robust cloud-based systems used by students globally at scale

● Experiment with cutting edge technologies and contribute to the

company’s product roadmap

● Deliver data at scale to bring value to clients Requirements

You will need:

● Experience working with a server side language in a full-stack environment

● Experience with various database technologies (relational, nosql,

document-oriented, etc) and query concepts in high performance

environments

● Experience in one of these areas: React, Backbone

● Understanding of ETL concepts and processes

● Great knowledge of design patterns and back end architecture best

practices

● Sound knowledge of Front End basics like JavaScript, HTML, CSS

● Experience with TDD, automated testing

● 12+ years’ experience as a developer

● Experience with Git or Mercurial

● Fluent written & spoken English

It would be great if you have:

● B.Sc or M.Sc degree in Software Engineering, Computer Science or similar

● Experience and/or interest in API Design

● Experience with Symfony and/or Doctrine

● Experience with Go and Microservices

● Experience with message queues e.g. SQS, Kafka, Kinesis, RabbitMQ

● Experience working with a modern Big Data stack

● Contributed to open source projects

● Experience working in an Agile environment

We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.

In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that

• Has healthcare experience and is passionate about helping heal people,
• Loves working with data,
• Has an obsessive focus on data quality,
• Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
• Has strong data interrogation and analysis skills,
• Defaults to written communication and delivers clean documentation, and,
• Enjoys working with customers and problem solving for them.

A day in the life at Innovaccer:

• Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
• Measure and communicate impact to our customers.
• Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.

What You Need:

• 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
• Intermediate to advanced level SQL programming skills.
• Data Analytics and Visualization (using tools like PowerBI)
• The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
• Ability to work in a fast-paced and agile environment.
• Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.

What we offer:

• Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
• Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
• Health benefits: We cover health insurance for you and your loved ones.
• Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
• Pet-friendly office and open floor plan: No boring cubicles.

Technical Project Manager

Exp : 10 to 15 Years

Responsibilities

• Participate in meetings with US client teams to understand business requirements and project milestones. Provide technical suggestions and strategy in project planning.
• Prepare Project Plan and track the project progress of deliverables and Milestones. Report the status to higher management regularly.
• Monitor Budget and Timeline at regular Intervals and plan proactive steps to control them.
• Identifies opportunities for improving business prospects with the client.
• Help team in resolving technical and functional aspects across project life cycle.
• Planning and execution of training, mentoring, and coaching team members.
• Hold regular project reviews with internal & client stakeholders.
• Prepare organized and informative presentations whenever required.
• Resolve and/or escalate issues as and when it is imperative.

Required Skill

• At least 2 years’ experience in managing large technology engineering team or L2/L3 Technology Support team with an overall experience of at least 10 years in IT industry.
• Experience in BI Tools like MicroStrategy, OBIEE, Tableau or ETL Tools like Informatica, Talend, DataStage, and SSIS.
• Experience in Datawarehouse and BI Reporting projects as developer or Lead or Architect
• Experience in generating reports on SLAs, KPIs, metrics and reporting to senior leadership.
• Experience in attracting and hiring excellent talent Ability to mentor, and bring best out of the team. Flexible with working hours based on the service requirement.
• Demonstrate organizational and leadership skills
• Excellent communication (written and spoken) skills
• Experience or knowledge in tools such as JIRA, Confluence, ServiceNow, Splunk, Other monitoring tools etc . Exp on ETL,DWH concepts, L2/L3 Exp

Job Description

Mandatory Requirements 

• Experience in AWS Glue

• Experience in Apache Parquet 

• Proficient in AWS S3 and data lake 

• Knowledge of Snowflake

• Understanding of file-based ingestion best practices.

• Scripting language - Python & pyspark

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 

• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 

• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 

• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 

• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.

• Define process improvement opportunities to optimize data collection, insights and displays.

• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 

• Identify and interpret trends and patterns from complex data sets 

• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 

• Key participant in regular Scrum ceremonies with the agile teams  

• Proficient at developing queries, writing reports and presenting findings 

• Mentor junior members and bring best industry practices.

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 

• Strong background in math, statistics, computer science, data science or related discipline

• Advanced knowledge one of language: Java, Scala, Python, C# 

• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  

• Proficient with

• Data mining/programming tools (e.g. SAS, SQL, R, Python)

• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)

• Data visualization (e.g. Tableau, Looker, MicroStrategy)

• Comfortable learning about and deploying new technologies and tools. 

• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 

• Good written and oral communication skills and ability to present results to non-technical audiences 

• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus: 

• AWS certification

• Spark Streaming 

• Kafka Streaming / Kafka Connect 

• ELK Stack 

• Cassandra / MongoDB 

• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Key skills : Python, Numpy, Panda, SQL, ETL 

Roles and Responsibilities:

- The work will involve the development of workflows triggered by events from other systems

- Design, develop, test, and deliver software solutions in the FX Derivatives group

- Analyse requirements for the solutions they deliver, to ensure that they provide the right solution

- Develop easy to use documentation for the frameworks and tools developed for adaption by other teams

Familiarity with event-driven programming in Python

- Must have unit testing and debugging skills

- Good problem solving and analytical skills

- Python packages such as NumPy, Scikit learn

- Testing and debugging applications.

- Developing back-end components.

We at Datametica Solutions Private Limited are looking for an SQL Lead / Architect who has a passion for the cloud with knowledge of different on-premises and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike.

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description :

Experience: 6+ Years

Work Location: Pune / Hyderabad

Technical Skills :

• Good programming experience as an Oracle PL/SQL, MySQL, and SQL Server Developer
• Knowledge of database performance tuning techniques
• Rich experience in a database development
• Experience in Designing and Implementation Business Applications using the Oracle Relational Database Management System
• Experience in developing complex database objects like Stored Procedures, Functions, Packages and Triggers using SQL and PL/SQL
•  

Required Candidate Profile :

• Excellent communication, interpersonal, analytical skills and strong ability to drive teams
• Analyzes data requirements and data dictionary for moderate to complex projects • Leads data model related analysis discussions while collaborating with Application Development teams, Business Analysts, and Data Analysts during joint requirements analysis sessions
• Translate business requirements into technical specifications with an emphasis on highly available and scalable global solutions
• Stakeholder management and client engagement skills
• Strong communication skills (written and verbal)

About Us!

A global leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle Data warehouse Assessment & Migration Planning Product

Raven Automated Workload Conversion Product

Pelican Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live, and learn new things. We believe in building a culture of innovation, growth, and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com

We at Datametica Solutions Private Limited are looking for SQL Engineers who have a passion for cloud with knowledge of different on-premise and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike. 

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description

Experience : 4-10 years

Location : Pune

Mandatory Skills - 

• Strong in ETL/SQL development
• Strong Data Warehousing skills
• Hands-on experience working with Unix/Linux
• Development experience in Enterprise Data warehouse projects
• Good to have experience working with Python, shell scripting
•  

Opportunities -

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume and Kafka
• Would get chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

http://www.datametica.com/">www.datametica.com

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.

Responsibilities:

• Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
• Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
• End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
• Build and improve logistics components for this innovative M2C supply-chain model.
• Build and maintain scalable ETL data pipelines.

Requirements:

• Bachelors/Masters/PhD in Computer Science or closely related subject.
• 1-5 years of experience in building software solutions.
• Good at data structures and their practical applications.
• Proficiency in Kotlin, Java, Python.
• Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
• Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
• Experience with messaging middleware such as Kafka is good to have.

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server

ETL Developer – Talend

Job Duties:

• ETL Developer is responsible for Design and Development of ETL Jobs which follow standards,

best practices and are maintainable, modular and reusable.

• Proficiency with Talend or Pentaho Data Integration / Kettle.
• ETL Developer will analyze and review complex object and data models and the metadata

repository in order to structure the processes and data for better management and efficient

access.

• Working on multiple projects, and delegating work to Junior Analysts to deliver projects on time.
• Training and mentoring Junior Analysts and building their proficiency in the ETL process.
• Preparing mapping document to extract, transform, and load data ensuring compatibility with

all tables and requirement specifications.

• Experience in ETL system design and development with Talend / Pentaho PDI is essential.
• Create quality rules in Talend.
• Tune Talend / Pentaho jobs for performance optimization.
• Write relational(sql) and multidimensional(mdx) database queries.
• Functional Knowledge of Talend Administration Center/ Pentaho data integrator, Job Servers &

Load balancing setup, and all its administrative functions.

• Develop, maintain, and enhance unit test suites to verify the accuracy of ETL processes,

dimensional data, OLAP cubes and various forms of BI content including reports, dashboards,

and analytical models.

• Exposure in Map Reduce components of Talend / Pentaho PDI.
• Comprehensive understanding and working knowledge in Data Warehouse loading, tuning, and

maintenance.

• Working knowledge of relational database theory and dimensional database models.
• Creating and deploying Talend / Pentaho custom components is an add-on advantage.
• Nice to have java knowledge.

Skills and Qualification:

• BE, B.Tech / MS Degree in Computer Science, Engineering or a related subject.
• Having an experience of 3+ years.
• Proficiency with Talend or Pentaho Data Integration / Kettle.
• Ability to work independently.
• Ability to handle a team.
• Good written and oral communication skills.