Sr. Data Engineer

Senior Data Engineer

Job Description – 6+ years of relevant experience in data engineering.

High proficiency in SQL and Python.

Experience with additional languages (Scala / Java) is a plus.

Strong experience with Spark (PySpark, Spark SQL), including understanding of how to optimize jobs (memory, shuffle, parallelism).

Hands-on experience with Databricks

Experience using VS Code for development; experience with Git for version control, branching strategies, merging etc.

Proficiency with cloud environments; specifically Azure — Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS), Azure SQL or SQL DW.

Familiarity with real-time data or streaming techs (e.g. Kafka, Spark Streaming).

Strong understanding of data modelling (dimensional, relational), schema evolution, open table formats.

Good to have experience in Healthcare domain

Good to have Databricks or Azure certifications

With the requirement of having 6-12 years of experience.

Job Types: Full-time, Permanent

Pay: ₹3,600,000.00 - ₹4,000,000.00 per year

Benefits:

• Health insurance

Application Question(s):

• Do you have 6 to 12 years of hands on experience in the following - Strong experience with Spark (PySpark, Spark SQL), including understanding of how to optimize jobs (memory, shuffle, parallelism).

Hands-on experience with Databricks
Experience using VS Code for development; experience with Git for version control, branching strategies, merging etc.Proficiency with cloud environments; specifically Azure — Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS), Azure SQL or SQL DW.Familiarity with real-time data or streaming techs (e.g. Kafka, Spark Streaming).Strong understanding of data modelling (dimensional, relational), schema evolution, open table formats.

Experience:

• total work: 6 years (Required)

Work Location: In person