Position: Cloud Data Engineer- GCP
- Develop and maintain data pipelines using GCP services like Cloud Functions, Dataflow, and BigQuery.
- Assist in designing and implementing ETL/ELT workflows for structured and semi-structured data.
- Contribute to building and maintaining data models and schemas using best practices.
- Support in the development and optimization of Spark jobs using PySpark or Scala.
- Collaborate with senior engineers to perform data quality checks and resolve data inconsistencies.
- Strong experience in Python and Spark.
- Solid understanding of data engineering concepts and GCP architecture.
- Hands-on experience with GCP services,Cloud Storage (GCS)Cloud Functions / Cloud Run, Pub/Sub, BigQuery, Dataflow, Cloud Composer.
- Experience with BigQuery and other cloud DWHs (Snowflake, Redshift).
- Familiarity with CI/CD pipelines and Git for version control.
- Experience designing and implementing ETL workflows with complex transformations (SCDs, deduplication,aggregation, etc.)
- Ability to maintain scalable data pipelines and build new API/data integrations for growing data volumes.
- Familiarity with streaming platforms like Kafka or Google Cloud Data Streams.
- Working knowledge of Linux and ETL tools such as Informatica or Talend.
- Bachelor�s degree in computer science, Engineering, or related field. (Master�s degree is a plus)
- 3 to 7 years of IT experience, including 3+ years of hands-on experience with Google Cloud Platform (GCP)
- Strong understanding of GCP services such as BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Composer, and Pub/Sub.
Salary
Hourly based
Location
TN , India TN, India
Job Overview
Location
TN , India TN, India
