Data Engineer (Data Bricks)

Role Summary We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools.

Key Responsibilities Architect and implement high-performance ETL/ELT pipelines on [ Azure data Factory ].

Optimize data workflows for cost, speed, and scalability.

Ensure data quality, lineage, and security across systems.

Establish CI/CD , monitoring, and documentation standards for data engineering.

Required Qualifications Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have ).

Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one.

Strong SQL and Python/Scala.

Proven application of best practices: code reviews, version control (Git), data testing, partitioning, and incremental loads.

Experience with streaming (Kafka, Kinesis).

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