Data Engineer-Data Platforms-Google
IBM
Bengaluru, Karnataka, India1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · Master's degree
- Must know
- ETLGCPHadoop
- Nice to have
- PythonSparkAirflowScala
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Python18%GCP5%of 22 similar fresher jobs posted in India this week
- Listed
- 2 Nov 2026 · still open
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About the Role
A career in IBM Consulting involves building long-term client relationships and close collaboration. You will work with leading companies, helping them shape their hybrid cloud and AI journeys.
Key Responsibilities
- Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google services such as DataProc, DataFlow, PubSub, BigQuery, and Big Table.
- Build and maintain data engineering solutions using Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python.
- Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow).
- Develop and implement data migration solutions using Google services.
- Design and optimize the data layer using Google services such as BigQuery, Big Table, and Cloud Spanner.
Requirements & Tech Stack
- Expertise in designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem, including services such as Google DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB.
- Experience developing and managing batch and real-time data pipelines for Data Warehouse and Datalake using Google services and open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.
- Proficiency working with Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, and Google DataFlow with Apache Beam or Python.
- Knowledge of scheduling and managing the data platform using Google Cloud Scheduler and Cloud Composer (Airflow).
- Experience with data layer design using Google services such as BigQuery, Big Table, and Cloud Spanner.
- Preferred Education: Master's Degree
Preferred Technical and Professional Experience
- Utilization of open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala.
- Experience with data migration solutions using Google services.
- Exposure to using Cloud Composer (Airflow) for data platform management.