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

• 5+ years in data engineering, with 2+ years in a senior role.
• 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).