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Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
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BigtableCloud FunctionsCloud RunDatastoreGCPJavaPysparkPythonSpannerSQL
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.
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Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Continuously evaluate and improve data processes to enhance efficiency and effectiveness.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with data modeling and database design.
- Strong understanding of ETL processes and data integration techniques.
- Familiarity with cloud platforms such as AWS or Azure.
- Experience in performance tuning and optimization of data queries.
Additional Information:
- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
- This position is based in Pune.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge in data engineering.
- Continuously evaluate and improve data processes to enhance efficiency and effectiveness.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with data modeling and database design.
- Strong understanding of ETL processes and data integration techniques.
- Familiarity with cloud platforms such as AWS or Azure.
- Experience in performance tuning and optimization of data queries.
Additional Information:
- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
- This position is based in Pune.
- A 15 years full time education is required.
15 years full time education
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