Data Engineer
6 days ago
Job Summary :
We are looking for an experienced Data Engineer with strong hands-on expertise in Google Cloud Platform (GCP) and BigQuery to design, build, and manage scalable data pipelines. The ideal candidate will have a deep understanding of ETL frameworks, data modeling, and cloud-based analytics solutions.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines and ETL workflows on GCP.
- Work extensively with BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer (Airflow).
- Optimize data storage, query performance, and cloud cost efficiency.
- Collaborate with data scientists, analysts, and business teams to deliver clean, structured datasets.
- Implement data quality checks, lineage, and governance across data platforms.
- Automate data workflows using Python, SQL, and orchestration tools.
- Integrate data from multiple sources, including APIs, on-prem databases, and third-party applications.
- Ensure security, scalability, and reliability in all data architecture designs.
Required Skills & Experience :
- Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
- Proficiency in SQL and Python
- Strong understanding of ETL concepts, data modeling, and data warehousing
- Familiarity with CI/CD pipelines (Git, Jenkins, etc.)
- Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer
- Working knowledge of DataOps and DevOps best practices
- Excellent problem-solving, debugging, and communication skills
Good to Have :
- Experience with Snowflake, Databricks, or Terraform
- Knowledge of machine learning pipelines or streaming data (Kafka)
- Exposure to data visualization tools (Tableau, Power BI, Looker)
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