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Senior Data Engineer- AWS

3 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

AWS Data Engineer:


  • Primary skillsets: AWS, Pyspark, SQL, Databricks, Python
  • Secondary skillset- Any ETL Tool, Github, DevOPs(CI-CD)
  • Experience: 3-4yrs
  • Degree in computer science, engineering, or similar fields
  • Mandatory Skill Set: Python, PySpark , SQL, AWS with Designing, developing, testing and supporting data pipelines and applications.
  • 3+ years working experience in data integration and pipeline development.
  • 3+ years of Experience with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems Databricks, Redshift experience is a major plus.
  • 3+ years of experience using SQL in related development of data warehouse projects/applications (Oracle & amp; SQL Server)
  • Strong real-life experience in python development especially in PySpark in AWS Cloud environment
  • Strong SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch
  • Workflow management tools like Airflow
  • AWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR (equivalent
  • tools in the GCP stack will also suffice)
  • Good to Have: Snowflake, Palantir Foundry

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