Position: Data Pipeline Lead
4 days ago
We are looking for a seasoned Senior Data Engineer to join our team and lead the design, development, and maintenance of scalable data pipelines using Google Cloud Platform (GCP), BigQuery, DataProc (PySpark), and Informatica.
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The ideal candidate will have hands-on expertise in GCP, including BigQuery, DataProc, Cloud Storage, and Cloud Composer, as well as strong experience in PySpark for data processing and transformation. Proven experience in data migration projects, particularly to GCP, is also essential.
">- Design, develop, and maintain scalable data pipelines on GCP using BigQuery, DataProc (PySpark), and other native services.
- Lead or support data migration projects from on-premise to GCP, ensuring minimal downtime and data integrity.
- Develop and optimize ETL workflows and data integration processes using Informatica.
- Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into technical solutions.
- Implement data governance, quality, and lineage practices across the pipeline.
- Monitor data workflows and perform root cause analysis for any issues in production environments.
- Ensure best practices in code quality, performance tuning, and security.
In addition to the required skills and qualifications, we offer a competitive compensation package and opportunities for professional growth and development.
">Please submit your resume and cover letter to be considered for this exciting opportunity.
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