Data Engineer

JD: 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).