Data Engineers required ASAP in Haryāna, India

Data Engineer-II

Start Date
Starts Immediately

CTC (ANNUAL)

Competitive salary Competitive salary
Experience

4 year(s)
4 year(s)
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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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