IT - Technology Architect | ETL & Data Quality | ETL & Data Quality - ALL
Role details
Job location
Tech stack
Requirements
Experience: 5 8 years in data engineering with at least 3+ years on Azure. Azure Data Factory: Pipelines, data flows (mapping/wrangling), triggers, integration runtimes, parameterization, error handling & retries. Azure Databricks: Databricks Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, cluster configuration and optimization. Programming: Advanced Python or Scala (at least one), strong coding standards, modularization, and unit testing (e.g., pytest). SQL: Expert-level SQL (CTEs, window functions, query tuning), working with large datasets. Data Storage & Formats: ADLS Gen2, Delta Lake, Parquet, partitioning, Z-Ordering, OPTIMIZE/VACUUM. Ops & CI/CD: Git, branching strategies, CI/CD for ADF/Databricks; environment promotion; Infrastructure-as-Code exposure is a plus.
Benefits & conditions
Minimum years of experience: >10 years Certifications Needed: No Top 3 responsibilities you would expect the Subcon to shoulder and execute: Coding AND Development Migration activities Unit testing Interview Process (Is face to face required?) No, Project Code :GPTI core India