Summary
Written in English from the original postingThis role is for a Senior Data Engineer responsible for designing, building, and maintaining scalable ETL/ELT data pipelines using cloud technologies. The position includes optimizing data workflows, ensuring data quality, lineage, and security, and establishing CI/CD, monitoring, and documentation standards. Required experience includes cloud data services, ETL tools, strong SQL, Python or Scala, and exposure to streaming technologies.
Job description
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).