Senior Data Engineer

1 week ago


Mumbai, India Quantiphi Full time
Role:

Senior Data EngineerExperience Level:

3-8 YearsWork location:

Mumbai & Bangalore

We are looking for an experienced data engineering lead who can design the data model and build the data pipelines which serve as the foundation for data based products. In this role, you will be responsible for understanding data requirements from clients and accordingly build the right design & develop the data model and data pipelines for the same.

Technologies worked on :Programming - Python ProgrammingAWS based data services - Glue, S3, EMR, Lambda, RDS, Step FunctionsBig data - Spark (PySpark)Warehousing - AWS Redshift

Requirement Description :Experienced in designing, implementation & testing of highly scalable and cost-efficient AWS based big data ETL/ELT pipeline using PySpark and SQLWell-experienced in data warehousingWell versed in working with transactional databases

Must haveBig data engineering technologies like Spark (PySpark)Good knowledge of working with Python ProgrammingGood knowledge of advanced SQL concepts, Optimization techniquesGood knowledge of data warehousing, data modeling and concepts like OLAP and OLTPWorking knowledge with SQL databases like Postgresql, etc.

is mandatoryGood knowledge of Data Migration like bringing on premise database to cloud or one cloud to anotherUnderstand Architecture Requirements and ensure effective design, development, validation, and support activities.Understanding of

data based AWS services like Glue, EMR, Lambda, DMS, RDS, S3 etc and basic AWS architecture best practices.Knowledge of data pipeline orchestration using Step function or AirflowAbility to use the AWS service APIs, AWS CLI, and SDKs to build applications

Good to haveKnowledge of NoSQL databases

like Dynamo

can be add onKnowledge of BI toolsKnowledge of working with streaming pipelines



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