Data Engineer – Google Cloud
IBM · Gurugram
| Company | IBM |
|---|---|
| Role | Data Engineer – Google Cloud |
| Location | Gurugram |
| Work mode | Hybrid |
| Experience | 1–3 years |
| Job type | Full-time |
About this job
IBM Consulting works with large companies on hybrid cloud and AI projects, so this is a client-facing role: you will spend time understanding how a client's business works, not only building or configuring software. This Data Engineer role in Gurugram builds data platforms on Google Cloud.
You will build batch and real-time pipelines with Dataproc, Dataflow (Apache Beam), Pub/Sub, BigQuery and Bigtable, schedule them with Cloud Composer (Airflow), and work on data migration. IBM does not publish a years-of-experience figure for this role.
Eligibility
- IBM does not state years of experience for this role; check the official page
- Data pipelines on Google Cloud: BigQuery, Dataflow, Dataproc, Pub/Sub
- Spark with Python or Scala; Airflow or dbt
- SQL and data modelling
Skills required
What you will do
- Build batch and streaming pipelines on GCP
- Schedule and manage pipelines with Cloud Composer
- Migrate data between systems
- Optimise the data layer in BigQuery, Bigtable and Spanner
How to apply
- Open the official job page using the button below and read the full description
- Tailor your resume to the skills listed here and apply directly on the company's careers site
Before the interview, prepare:
- BigQuery: partitioning, clustering, cost control
- Dataflow/Beam vs Dataproc/Spark: when to use each
- Airflow DAG design, retries and backfills
- SQL questions: window functions, joins, deduplication
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