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)