Job Description:

Key Responsibilities :

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Design, develop, and maintain scalable data pipelines and ETL processes to support various business needs.

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Build and manage data workflows using the Databricks, GCP stack, including BigQuery, Cloud Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and other GCP services.

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Implement data models and transformations using DBT (Data Build Tool) to support analytical requirements.

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Collaborate with data analysts and scientists to understand and translate data needs into technical specifications.

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Ensure data quality, integrity, and governance by implementing monitoring and alerting mechanisms, along with automated data validation processes.

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Optimize and troubleshoot complex SQL queries and ETLjobs for performance and reliability.

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Develop and maintain comprehensive documentation for data pipelines, ETL processes, and data models.

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Stay up-to-date with the latest trends and technologies in data engineering, cloud computing, and analytics

Key Skills:

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Extensive experience with the GCP stack, including BigQuery, Cloud Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and other GCP services.

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Proficiency in using DBT (Data Build Tool) for data transformation and modeling.

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Strong SQL skills, with the ability to write complex queries and optimize them for performance.

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Experience with data integration tools and frameworks (e.g., Apache Airflow, QIik, GCP)

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Experience working with real-time data streaming and processing (e.g., Apache Kafka, Pub/Sub).

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Certification in GCP (e.g., Google Qualified Data Engineer) is a plus.

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Experience in Agile/Scrum methodologies

📌 Sr. GCP Data Engineer (India)
🏢 Acura Solution
📍 India