Role & responsibilities
Hands-on experience with Databricks platform, including:
PySpark / Spark SQL for data processing and transformation
Delta Lake for ACID-compliant data storage
Notebooks for workflow orchestration and team-oriented development
Robust programming skills in Python and SQL.
Experience in data ingestion from batch and streaming sources.
Knowledge of ETL/ELT design patterns and data pipeline optimization.
Familiarity with cloud data storage and compute settings (AWS, Azure, or GCP).
Basic understanding of workflow orchestration tools (Airflow, Databricks Jobs).
Exposure to DevOps concepts, CI/CD pipelines, and version control (Git).
Awareness of data security, access control, and compliance considerations.
Understanding of performance tuning, partitioning, and caching strategies in Spa
📌 Walk In Azure Data Engineer Visakhapatnam (India)
🏢 Tata Consultancy Services
📍 India
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