Key Responsibilities:
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.
Required Skills & Experience:
10–12 years of overall experience in Data Engineering and ETL development.
Hands-on expertise in Google Cloud Platform (GCP) including BigQuery, DataProc, Cloud Storage, and Cloud Composer.
Strong experience in PySpark for data processing and transformation.
Proven experience in data migration projects, particularly to GCP.
Strong proficiency in Informatica PowerCenter / Informatica Cloud / IDQ.
Solid understanding of data modeling, performance optimization, and scalable architecture design.
Familiarity with CI/CD pipelines, DevOps practices, and Agile methodologies.
Job details are sourced from the employer's original posting.
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Ascendion is a company that provides software engineering solutions.