Data Engineer
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Summary
Senior Data Engineer in Islamabad who designs, builds, and optimizes scalable ETL/ELT data pipelines on cloud platforms — with Azure Data Factory and Databricks as must-haves — plus strong SQL, Python/Scala, streaming (Kafka/Kinesis), and CI/CD and data-quality standards.
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).