Data Engineer

2 days ago

Chennai, Tamil Nadu, India Chola MS Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Skills Required:

  • Should have a minimum 3+ years in Data Engineering, Data Analytics platform.
  • Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements.
  • Should be involved in Requirements Gathering and transforming them to into Functionally and technical design.
  • Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
  • Design, build and maintain batch or real-time data pipelines in production.
  • Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources.
  • Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases.
  • Prepare raw data in Data Warehouses into a consumable dataset for both technical and non[1]technical stakeholders.
  • Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures.
  • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
  • Monitor data systems performance and implement optimization strategies.
  • Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.
  • Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.).
  • Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow)
  • Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).
  • Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform.
  • Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud.
  • Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc.
  • Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce).
  • Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc.
  • Experience in Insurance domain preferred.

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