- Senior Data Engineer is responsible for design develop and support ETL data pipelines solutions primary in AWS environment
- Design develop and maintain scaled ETL process to deliver meaningful insights from large and complicated data sets.
- Work as part of a team to build out and support data warehouse implement solutions using PySpark to process structured and unstructured data.
- Play key role in building out a semantic layer through development of ETLs and virtualized views.
- Collaborate with Engineering teams to discovery and leverage new data being introduced into the environment
- Support existing ETL processes written in SQL or leveraging third party APIs with Python troubleshoot and resolve production issues.
- Strong SQL and data to understand and troubleshoot existing complex SQL.
- Handson experience with Apache Airflow or equivalent tools (AWS MWAA) for orchestration of data pipelines
- Create and maintain report specifications and process documentations as part of the required data deliverables.
- Serve as liaison with business and technical teams to achieve project objectives delivering cross functional reporting solutions.
- Troubleshoot and resolve data system and performance issues
- Communicating with business partners other technical teams and management to collect requirements articulate data deliverables and provide technical designs.
Qualifications :
- you have completed graduation from BE/Btech
- 6 to 9 years of experience in Data Engineering development
- 5 years of experience in Python scripting
- You should have 8 years experience in SQL 5years in Datawarehouse 5yrs in Agile and 3yrs with Cloud
- 3 years of experience with AWS ecosystem (Redshift EMR S3 MWAA)
- 5 years of experience in Agile development methodology
- You will work with the team to create solutions
- Proficiency in CI/CD tools (Jenkins GitLab etc.
Additional Information :
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Benefits
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1 In support of this endeavor we offer the best family wellbeing benefits
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Remote Work :
No
Employment Type :
Fulltime