Data Engineer Lahore, Pakistan

**Role Summary** About the job Data Engineer We are seeking a Data Engineer to design, build, and operate data pipelines and warehouses powering enterprise analytics and reporting. The role covers ingestion, transformation, modelling, and operationalisation across cloud and on\-prem data sources. **Key Responsibilities** * Design and implement batch \+ streaming data pipelines (ETL/ELT). * Build and maintain dimensional/data\-warehouse models (Star/Snowflake schema, slowly\-changing dimensions). * Develop in SQL, Python, and at least one orchestrator (Airflow, Azure Data Factory, AWS Glue). * Operate data quality checks, lineage, and observability (Great Expectations, Monte Carlo, or similar). * Optimise warehouse performance (Snowflake, Synapse, BigQuery, Redshift). * Partner with BI/analytics teams on semantic models and self\-service consumption. * Document pipelines, schemas, and runbooks. **Required Qualifications** * Bachelor's degree in CS, Engineering, Statistics, or equivalent. * 4\+ years building production data pipelines. * Strong SQL (window functions, CTEs, query tuning) and Python. * Hands\-on with at least one major DW/Lakehouse: Snowflake, BigQuery, Synapse, Redshift, Databricks. * Experience with at least one orchestrator: Airflow, ADF, Glue, dbt \+ scheduler. * Familiarity with cloud object storage (S3, ADLS, GCS) and file formats (Parquet, ORC, Avro). * Professional English — mandatory. **Preferred / Nice To Have** * Working knowledge of Arabic is a plus. * Streaming experience: Kafka, Kinesis, Event Hubs, Spark Structured Streaming. * dbt Analytics Engineer or cloud data engineer certifications. * Exposure to data governance/cataloguing (Purview, Unity Catalog, Collibra).