3 - 5 years

5 - 9 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Qualification: Degree in Computer Science (or similar), alternatively well-founded professional experience in the desired field

Roles Responsibilities:

  • As a Senior Data Engineer, you manage and develop the solutions in close alignment with various business and Spoke stakeholders. You are responsible for the implementation of the IT governance guidelines.

    Collaborate with the Spokes Data Scientists, Data Analysts, and Business Analysts, when relevant.

    Tasks

    Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation

    Experience working with and creating cloud data solutions

    Assemble large, complex data sets that meet functional/non-functional business requirements

    Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies

    Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

    Manipulate data at scale: getting data in a ready-to-use state in close alignment with various business an d Spoke stak eholders

Must Have:

Advanced knowledge:

ETL
Data Lake, Data Warehouse, RDS architectures knowledge
Python, SQL (Any other OOP language is also valuable)
Pyspark (preferably) or Spark Knowledge
Object-oriented programming, Clean Code and good documentation skills
AWS: S3, Athena, Lambda, Glue, IAM, SQS, EC2, Quicksight, and etc.
Git
Data Analysis Visualization
Optional:
AWS CDK Cloud Development Kit
CI/CD knowledge

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