Job Title : GCP Data Engineer
Experience : 8 to 12 Years
Location : Coimbatore - On-site
Employment Type : Full-Time
Job Summary
We are looking for a skilled and experienced GCP Data Engineer to design, build, and optimize scalable data pipelines and data platforms on Google Cloud.
The ideal candidate should have strong expertise in SQL, ETL/ELT processes, Databricks, Snowflake, and modern BI tools, with a solid understanding of data architecture and cloud-based data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using GCP services.
- Build and optimize ETL/ELT workflows for data ingestion, transformation, and loading.
- Work with Databricks for big data processing and advanced analytics.
- Develop and manage data models and warehousing solutions using Snowflake.
- Write complex and optimized SQL queries for large datasets.
- Integrate data from multiple sources (APIs, databases, streaming platforms).
- Ensure data quality, integrity, and governance across pipelines.
- Collaborate with data analysts, BI teams, and stakeholders to deliver actionable insights.
- Support reporting and analytics by integrating with BI tools (Power BI, Tableau, Looker, etc.
- Monitor and troubleshoot data workflows and performance issues.
- Implement best practices for data security, scalability, and cost optimization in GCP.
Required Skills & Qualifications
- 8+ years of experience in Data Engineering or related roles.
- Strong hands-on experience with Google Cloud Platform (GCP) services such as : BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer (Airflow)
- Expertise in SQL (advanced querying, performance tuning).
- Experience with Databricks (PySpark / Spark).
- Strong experience in Snowflake (data modeling, performance optimization).
- Hands-on experience in building ETL/ELT pipelines.
- Proficiency in Python / PySpark.
- Experience with BI tools such as Tableau, Power BI, or Looker.
- Good understanding of data warehousing concepts and dimensional modeling.
- Familiarity with version control tools (Git) and CI/CD pipelines.
Nice To Have
- GCP certifications (e., Professional Data Engineer).
- Experience with streaming data pipelines (Kafka / Pub/Sub).
- Knowledge of data governance, security, and compliance.
- Exposure to ML/AI pipelines on GCP
(ref:hirist.tech)
