Data Engineer


LOCATION – Bangalore, Chennai, Pune

JOB ID – 47659


Job/Position Summary


  • Implement data pipelines that meet design and are efficient, scalable, and maintainable
  • Implement best practices including proper use of source control, participation in code reviews, data validation and testing
  • Timely deliveries while working on projects
  • Act as advisor/mentor and helps junior data engineers in their deliverables

Must Have Skills:

  • Should have experience of at least 4+ years with Data Engineering
  • Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment
  • Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks
  • Experience in programming at least one of with Python, Java, Scala, Shell Script
  • Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc.
  • Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.)

Good To Have Skills:

  • Should have Basic Knowledge of CI/CD Pipeline
  • Experience in working on at least one Cloud (AWS or Azure or GCP)
  • For AWS: – Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR
  • For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI
  • For GCP: – Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio
  • Sound familiarity in Versioning tools (Git, SVN etc.)
  • Experience Mentoring students is desirable
  • Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain.
  • Open minded approach to explore multiple algorithms to design optimal solution.
  • History of contribution to articles/blogs/whitepapers etc. in Analytics
  • History of contribution to Open Source.



  • Data Engineering
  • Hadoop
  • Kafka
  • CI/CD
  • Cloud
Mahesh Wabale

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