About this role
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).