Senior Data Engineer (spark,Python)

Primary skillset:

Experience working with distributed technology tools for developing Batch and Streaming pipelines using

SQL, Spark, Python, PySpark [4+ years],

Airflow [3+ years],

Scala [2+ years].

Able to write code which is optimized for performance.

Experience in Cloud platform, ., AWS, GCP, Azure, etc.

Able to quickly pick up new programming languages, technologies, and frameworks.

Strong skills building positive relationships across Product and Engineering.

Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc.

Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture

• Experience

  4 - 10 Years

• No. of Openings

  20

• Education

  Graduate

• Role

  Senior Data Engineer

• Industry Type

  IT-Hardware & Networking / IT-Software / Software Services

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office