Data Engineer
Qzigma Technologies is seeking a Data Engineer to build and scale AI/BI solutions within an AI platform context. The role involves developing ETL/ELT pipelines using Databricks and Delta Lake, adhering to Medallion architecture standards. You will integrate enterprise data systems and manage data governance via Unity Catalog. The position requires strong proficiency in Spark and Python, with a focus on supporting AIOps and MLflow workflows.
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Experience
6+ years
Function
Engineering
Work mode
Remote, India
Company
Tier 2
What you will work on
Qzigma Technologies is seeking a Data Engineer to build and scale AI/BI solutions within an AI platform context. The role involves developing ETL/ELT pipelines using Databricks and Delta Lake, adhering to Medallion architecture standards. You will integrate enterprise data systems and manage data governance via Unity Catalog. The position requires strong proficiency in Spark and Python, with a focus on supporting AIOps and MLflow workflows.
TAL's take
Standard data engineering role with specific stack, though company is Tier 2.
Role is well-defined with clear technical requirements and stack (Databricks, Medallion Architecture).
Must haves
- AI platform engineering experience
- Databricks (Delta Lake, Apache Spark)
- ETL/ELT pipeline development
- Medallion architecture experience
- SQL, Python, or Scala proficiency
Tools and skills
Nice to have: unity catalog, mlflow, azure, aws.
About the company
unfamiliar company, default mid-tier