Tech Lead

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Role & responsibilities

Key Responsibilities:

Design and implement scalable data pipelines using Databricks aligned with Medallion Architecture (Bronze, Silver, Gold layers).
Apply dimensional data modeling including Star, Snowflake, Galaxy schema etc. to develop business reports, dashboards, and advanced analytics.
Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions.
Ensure data quality, consistency, and reliability across all layers of the data architecture.
Support Power BI and other analytics teams with well-structured data models and efficient query performance.
Monitor, troubleshoot, and optimize Databricks jobs and workflows.

Required Skills:

Strong hands-on experience with Databricks, PySpark, and Delta Lake.
Deep understanding of Medallion Architecture principles (BronzeSilver–Gold design).
Experience in data modeling for analytics and reporting use cases.
Good understanding of ETL/ELT design, data governance, and performance tuning.
Proficiency in SQL and familiarity with Azure Data Services (ADF, Data Lake, etc.).

Desirable Skills:

Experience with Power BI report development or strong collaboration with BI teams.
Familiarity with cloud data platforms (Azure, AWS, or GCP).
Understanding of data security, lineage, and quality frameworks.

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