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Job Location: Poona, Maharashtra, The Great Bharat
Job Detail:
AWS Data Engineer
What’s this role about?
Looking for a self-driven individual who has a high quotient for problem solving, technical zeal in learning newer areas and has worked in a high demand work environment. Candidate would be involved in various projects
AWS technical background having extensive experience in Data engineering services and should have knowledge OR worked on Spark, EMR, RedShift, Kinesis, Lambda, Glue, Apache Airflow, Data Lake
Here’s How You’ll Contribute
- Work with the team in capacity of AWS Data Engineer on day to day activities
- Solve problems at hand with utmost clarity and speed
- Train and coach other team members
- Ability to turn around quickly
- Work with Data analysts and architects to help them solve any specific issues with tooling/processes
- Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties – Spark, EMR, RedShift, Kinesis, Lambda, Glue, Apache Airflow, Data Lake
- Design and build production data pipelines from ingestion to consumption within a big data architecture, using Python, Spark, Apache Hudi
- AWS RedShift modeling and performance tuning techniques
- RDBMS and No-SQL database experience
- Knowledge on orchestrating workloads on cloud
- Implement Data warehouse & Big/Small data designs, data lake solutions with very good data quality capabilities
Skills Required To Contribute
Hands-on (Must have) 6+ years of working experience:
- AWS – S3, Spark, EMR, RedShift, Kinesis, Lambda, Glue, Apache Airflow, Data Lake
Primary Location: India-Maharashtra-Pune
Job Posting: Mar 7, 2023
Experience Required (In Years)
6
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