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Role: MuleSoft Developer.
Skills: MuleSoft, Snowflake, Data Lineage experience suing Collibra, Data Warehousing
Location: Bangalore/ Mangalore Hybrid
Notice Period - Immediate to 15 days
Responsibilities:
• 5+ years of experience in MuleSoft
• Strong experience in Snowflake
• Data Lineage experience suing Collibra
• Data Warehousing: Experience with developing data warehouse, data mart, data lake
type of solution
• Problem-Solving: Strong analytical skills and the ability to combine data from different
sources
• Communication: Excellent communication skills to work effectively with cross-
functional teams.
• Good to have – Experience with open-source data ingestion
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
Responsibilities:
- Lead the design, development, and implementation of scalable data architectures leveraging Snowflake, Python, PySpark, and Databricks.
- Collaborate with business stakeholders to understand requirements and translate them into technical specifications and data models.
- Architect and optimize data pipelines for performance, reliability, and efficiency.
- Ensure data quality, integrity, and security across all data processes and systems.
- Provide technical leadership and mentorship to junior team members.
- Stay abreast of industry trends and best practices in data architecture and analytics.
- Drive innovation and continuous improvement in data management practices.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred.
- 5+ years of experience in data architecture, data engineering, or a related field.
- Strong proficiency in Snowflake, including data modeling, performance tuning, and administration.
- Expertise in Python and PySpark for data processing, manipulation, and analysis.
- Hands-on experience with Databricks for building and managing data pipelines.
- Proven leadership experience, with the ability to lead cross-functional teams and drive projects to successful completion.
- Experience in the banking or insurance domain is highly desirable.
- Excellent communication skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
- Strong problem-solving and analytical skills, with a keen attention to detail.
Benefits:
- Competitive salary and performance-based incentives.
- Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
- Flexible work arrangements, including remote options.
- Opportunities for professional development and career advancement.
- Dynamic and collaborative work environment with a focus on innovation and continuous learning.
- As a data engineer, you will build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. You ultimate goal is to make data accessible for organizations to optimize their performance.
- Work closely with PMs, business analysts to build and improvise data pipelines, identify and model business objects • Write scripts implementing data transformation, data structures, metadata for bringing structure for partially unstructured data and improvise quality of data
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
- Own data pipelines - Monitoring, testing, validating and ensuring meaningful data exists in data warehouse with high level of data quality
- What we look for in the candidate is strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
- Create long term and short-term design solutions through collaboration with colleagues
- Proactive to experiment with new tools
- Strong programming skill in python
- Skillset: Python, SQL, ETL frameworks, PySpark and Snowflake
- Strong communication and interpersonal skills to interact with senior-level management regarding the implementation of changes
- Willingness to learn and eagerness to contribute to projects
- Designing datawarehouse and most appropriate DB schema for the data product
- Positive attitude and proactive problem-solving mindset
- Experience in building data pipelines and connectors
- Knowledge on AWS cloud services would be preferred
at AxionConnect Infosolutions Pvt Ltd
Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur
Notice period: Immediate - 15 days
1. Python Developer with Snowflake
Job Description :
- 5.5+ years of Strong Python Development Experience with Snowflake.
- Strong hands of experience with SQL ability to write complex queries.
- Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
- Development of Data Analysis, Data Processing engines using Python
- Good Experience in Data Transformation using Python.
- Experience in Snowflake data load using Python.
- Experience in creating user-defined functions in Snowflake.
- Snowsql implementation.
- Knowledge of query performance tuning will be added advantage.
- Good understanding of Datawarehouse (DWH) concepts.
- Interpret/analyze business requirements & functional specification
- Good to have DBT, FiveTran, and AWS Knowledge.
at Mobile Programming LLC
Job Title: AWS-Azure Data Engineer with Snowflake
Location: Bangalore, India
Experience: 4+ years
Budget: 15 to 20 LPA
Notice Period: Immediate joiners or less than 15 days
Job Description:
We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.
Responsibilities:
- Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
- Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
- Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
- Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
- Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
- Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
- Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
- Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
- Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
- Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
- Strong proficiency in data modelling, ETL development, and data integration.
- Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
- In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
- Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
- Familiarity with data governance principles and security best practices.
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
- Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
- Immediate joiner or notice period less than 15 days preferred.
If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.
· Core responsibilities to include analyze business requirements and designs for accuracy and completeness. Develops and maintains relevant product.
· BlueYonder is seeking a Senior/Principal Architect in the Data Services department (under Luminate Platform ) to act as one of key technology leaders to build and manage BlueYonder’ s technology assets in the Data Platform and Services.
· This individual will act as a trusted technical advisor and strategic thought leader to the Data Services department. The successful candidate will have the opportunity to lead, participate, guide, and mentor other people in the team on architecture and design in a hands-on manner. You are responsible for technical direction of Data Platform. This position reports to the Global Head, Data Services and will be based in Bangalore, India.
· Core responsibilities to include Architecting and designing (along with counterparts and distinguished Architects) a ground up cloud native (we use Azure) SaaS product in Order management and micro-fulfillment
· The team currently comprises of 60+ global associates across US, India (COE) and UK and is expected to grow rapidly. The incumbent will need to have leadership qualities to also mentor junior and mid-level software associates in our team. This person will lead the Data platform architecture – Streaming, Bulk with Snowflake/Elastic Search/other tools
Our current technical environment:
· Software: Java, Springboot, Gradle, GIT, Hibernate, Rest API, OAuth , Snowflake
· • Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
· • Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
· Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, Ignite
•3+ years of experience in big data & data warehousing technologies
•Experience in processing and organizing large data sets
•Experience with big data tool sets such Airflow and Oozie
•Experience working with BigQuery, Snowflake or MPP, Kafka, Azure, GCP and AWS
•Experience developing in programming languages such as SQL, Python, Java or Scala
•Experience in pulling data from variety of databases systems like SQL Server, maria DB, Cassandra
NOSQL databases
•Experience working with retail, advertising or media data at large scale
•Experience working with data science engineering, advanced data insights development
•Strong quality proponent and thrives to impress with his/her work
•Strong problem-solving skills and ability to navigate complicated database relationships
•Good written and verbal communication skills , Demonstrated ability to work with product
management and/or business users to understand their needs.
staging, QA, and development of cloud infrastructures running in 24×7 environments.
● Most of our deployments are in K8s, You will work with the team to run and manage multiple K8s
environments 24/7
● Implement and oversee all aspects of the cloud environment including provisioning, scale,
monitoring, and security.
● Nurture cloud computing expertise internally and externally to drive cloud adoption.
● Implement systems solutions, and processes needed to manage cloud cost, monitoring, scalability,
and redundancy.
● Ensure all cloud solutions adhere to security and compliance best practices.
● Collaborate with Enterprise Architecture, Data Platform, DevOps, and Integration Teams to ensure
cloud adoption follows standard best practices.
Responsibilities :
● Bachelor’s degree in Computer Science, Computer Engineering or Information Technology or
equivalent experience.
● Experience with Kubernetes on cloud and deployment technologies such as Helm is a major plus
● Expert level hands on experience with AWS (Azure and GCP experience are a big plus)
● 10 or more years of experience.
● Minimum of 5 years’ experience building and supporting cloud solutions
We are looking out for a Snowflake developer for one of our premium clients for their PAN India loaction
Role: Data Engineer
Company: PayU
Location: Bangalore/ Mumbai
Experience : 2-5 yrs
About Company:
PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.
The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.
Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.
India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments.
PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants.
Job responsibilities:
- Design infrastructure for data, especially for but not limited to consumption in machine learning applications
- Define database architecture needed to combine and link data, and ensure integrity across different sources
- Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems
- Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed
- Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
- Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions
Requirements to be successful in this role:
- Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
- Strong experience with scalable compute solutions such as in Kafka, Snowflake
- Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc.
- Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL)
- A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks
- Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI)
- Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale
There is an urgent opening for Snowflake in MNC company.
Required:
1) WebFOCUS BI Reporting
2) WebFOCUS Adminstration
3) Sybase or Oracle or SQL Server or Snowflake
4) DWH Skills
Nice to have:
1) Experience in SAP BO / Crystal report / SSRS / Power BI
2) Experience in Informix
3) Experience in ETL
Responsibilities:
• Technical knowledge regarding best practices of BI development / integration.
• Candidate must understand business processes, be a detailed-oriented person and quickly grasp new concepts.
• Additionally the candidate will have strong presentation, interpersonal, software development and work management skills.
• Strong Advanced SQL programming skills are required
• Proficient in MS Word, Excel, Access, and PowerPoint
• Experience working with one or more BI Reporting tools as Analyst/Developer.
• Knowledge of data mining techniques and procedures and knowing when their use is appropriate
• Ability to present complex information in an understandable and compelling manner.
• Experience converting reports from one reporting tool to another
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills
____ 04
Freight Commerce Solutions Pvt Ltd.
• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala
2. Assemble large, complex data sets that meet business requirements
3. Identify, design, and implement internal process improvements
4. Optimize data delivery and re-design infrastructure for greater scalability
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
8. Create data tools for analytics and data scientist team members
Skills Required:
1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)
2. Proficient in Python (Programming / Scripting)
3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)
4. In-depth understanding of principles of database structure
5. Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)
6. Proficient in SQL (query solving)
7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)
Basic Qualifications
- Need to have a working knowledge of AWS Redshift.
- Minimum 1 year of designing and implementing a fully operational production-grade large-scale data solution on Snowflake Data Warehouse.
- 3 years of hands-on experience with building productized data ingestion and processing pipelines using Spark, Scala, Python
- 2 years of hands-on experience designing and implementing production-grade data warehousing solutions
- Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
- Excellent presentation and communication skills, both written and verbal
- Ability to problem-solve and architect in an environment with unclear requirements