Lead Data Engineer
Q1 Technologies
Lead Engineer
- Design and build robust, scalable ETLELT pipelines using PySpark to ingest data from diverse sources (databases, logs, APIs, files).
- Transform and curate raw transactional and log data into analysis-ready datasets in the Data Hub and analytical data marts.
- Develop reusable and parameterized Spark jobs for batch and micro-batch processing.
- Optimize performance and scalability of PySpark jobs across large data volumes.
- Ensure data quality, consistency, lineage, and proper documentation across ingestion flows.
- Collaborate with Data Architects, Modelers, and Data Scientists to implement ingestion logic aligned with business needs.
- Work with cloud-based data platforms (e.g., AWS S3, Glue, EMR, Redshift) for data movement and storage.
- Support version control, CICD, and infrastructure-as-code where applicable.
- Participate in Agile ceremonies and contribute to sprint planning, story grooming, and demos.
Vacancy posted 5 days ago
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