About the Role" "Senior GCP Data Engineer" "Responsibilities" - Design and implement scalable data pipelines and ETL workflows on GCP using tools such as Dataflow, Dataproc, BigQuery, Pub/Sub, and Cloud Composer. - Develop and maintain data models, schemas, and data warehousing solutions. - Optimize data processing performance and cost efficiency. - Work closely with data analysts, data scientists, and business stakeholders to understand data requirements. - Build automated and reliable data ingestion and transformation processes. - Monitor and troubleshoot data pipelines and ensure data quality and reliability. - Ensure compliance with data security, privacy, and governance standards. - Implement CI/CD pipelines for data engineering projects using tools like Cloud Build or Jenkins.
"Required Skills" - 7+ years of experience in Data Engineering, with 3+ years on GCP. - Strong proficiency in SQL, Python, and Apache Beam/Spark. - Hands-on experience with GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc, Cloud Functions, etc. - Experience with data modeling, data warehousing (e.g., Snowflake, BigQuery), and data lake architecture. - Familiarity with CI/CD pipelines and infrastructure as code (Terraform is a plus). - Experience with real-time data streaming and batch data processing. - Solid understanding of data security, GDPR, and compliance. - Strong problem-solving and communication skills.
"Desirable Skills" - GCP Professional Data Engineer certification. - Experience with Airflow/Cloud Composer. - Knowledge of ML/AI pipelines and integration with data platforms. - Familiarity with DevOps practices in a data environment. "Education Qualification" - Not specified.
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Ascendion is a company that provides software engineering solutions.