Job Description

Job purpose:

Manage and create design schema, SQL query tuning, and code review.

Who you are:

  • Min 4+ years of professional experience in the field of data engineering with knowledge of the data platform and DWH development
  • Min. 2 years of hands-on experience in SSAS tabular models
  • Designed Data Ingestion and Orchestration Pipelines with Kafka and Python
  • Proven track record of developing and maintaining ETL pipelines at scale.
  • Deep understanding of Data Modeling & Data Warehouse structures.
  • Design and develop DBT models and build the data pipeline processes to perform processes as per DBT scripting
  • Experience with analytical tools such as SQL (Snowflake), ETL/ELT (Azure Data Factory, APIs), Cloud (Azure Functions & Storage), and BI tools (Power BI, ThoughtSpot)
  • Proficient in SSAS DAX queries

What will excite ...

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