Data Engineer
Datamatics Technologies Islamabad, Islamabad Capital Territory, Pakistan
IT Services and IT Consulting · 51-200 employees
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About the role
Architect and implement high-performance ETL/ELT pipelines using cloud technologies. Optimize data workflows for scalability while ensuring data quality, lineage, and security.
What they look for
Requirements
Requires 5+ years of data engineering experience with at least 2 years in a senior role. Proficiency in cloud data services, ETL tools, SQL, and Python or Scala is mandatory.
Full 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).
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