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Data Engineer-II
Start Date
Starts Immediately
CTC (ANNUAL)
Competitive salary Competitive salary
Experience
4 year(s)
4 year(s)
Apply By
Not Provided
Posted 2 weeks ago
Job
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About the job
Data Engineer II GCP Data Platform
Location: Gurgaon
Work Mode: Hybrid
Experience: 4+ Years
About the Role
We are looking for a hands-on Data Engineer II with strong GCP experience to build scalable data pipelines, transformations, and reusable data-platform capabilities.
The role involves taking solutions end-to-endfrom design and development to testing, deployment, and production support while building reliable and reusable data engineering solutions.
Key Responsibilities
Design, develop, and maintain production-grade data pipelines on GCP .
Build scalable batch and incremental processing solutions.
Develop complex transformations using BigQuery, SQL, and Dataform/dbt .
Build and maintain workflows using Cloud Composer / Apache Airflow .
Develop reusable transformation components, frameworks, and orchestration patterns.
Build distributed data-processing solutions using Dataflow / Apache Beam and/or Dataproc / Spark .
Design data models for analytical and downstream data products.
Implement data-quality checks, validation, reconciliation, and data lineage.
Optimize pipelines and BigQuery workloads for performance and cloud cost .
Implement automated testing and integrate data workloads with CI/CD .
Monitor production pipelines and troubleshoot issues through root-cause analysis.
Collaborate with Data Engineering, Platform Engineering, DevOps, Architecture, and business teams.
Must-Have Skills
- 4+ years of hands-on Data Engineering experience.
- Strong hands-on experience with GCP and BigQuery .
- Advanced SQL complex joins, CTEs, window functions, and query optimization.
- Strong Python development skills.
- Experience with production ETL/ELT pipelines.
- Hands-on experience with Cloud Composer / Apache Airflow .
- Experience with Dataform and/or dbt .
- Experience with Dataflow / Apache Beam or Dataproc / Spark / PySpark .
- Strong understanding of data modelling and large-scale datasets.
- Experience with incremental and idempotent processing.
- Understanding of data contracts, schema evolution, data quality, and reconciliation.
- Experience with Git, automated testing, and CI/CD .
- Strong production troubleshooting and problem-solving skills.
Technical Skills
Cloud: GCP, BigQuery, Google Cloud Storage
Programming: Python, SQL
Data Processing: Dataflow, Apache Beam, Dataproc, Spark/PySpark
Orchestration: Cloud Composer, Apache Airflow
Transformation: Dataform, dbt
Engineering: Git, CI/CD, Automated Testing, Monitoring
Data Engineering: ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata & Lineage
Good to Have
Apache Iceberg or modern lakehouse technologies.
Streaming or event-driven processing.
Data Product / Data Mesh concepts.
Metadata-driven or configuration-driven processing.
Change Data Capture (CDC).
Terraform / Infrastructure as Code.
Experience building reusable components for multiple engineering teams.
What Were Looking For
A strong ownership mindset, good analytical and debugging skills, ability to independently design solutions, and the confidence to take data engineering solutions through production.
Earn certifications in these skills
+ 5 more skills
Who can apply
Only those candidates can apply who:
1. have minimum 4 years of experience
Salary
Probation: Duration:
Salary during probation:
After probation:
Annual CTC: Competitive salary
Number of openings
1
Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
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