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Gurugram · On-site · 3-5 Yrs · Nov 1
3 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Job Title: Data Engineer (Big Data & ETL)
Responsibilities
- We are looking for a highly skilled Data Engineer to design, build, and maintain scalable data pipelines. You will be responsible for leveraging Java to develop complex data transformations and utilizing GCP's suite of data tools to build robust Data Warehousing solutions that drive business intelligence and analytics.
- Pipeline Development: Design and implement high-volume, low-latency ETL/ELT pipelines to ingest data from heterogeneous sources (structured and unstructured).
- Data Engineering: Develop and maintain data processing applications using Java to handle custom transformations and business logic.
- GCP Ecosystem: Architect solutions using GCP services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.
- Data Modeling: Design efficient schemas and data warehouse structures in BigQuery to support analytical queries.
- Optimization: Optimize data processing jobs for performance, cost-efficiency, and scalability.
- Cloud Infrastructure: Utilize Infrastructure-as-Code (Terraform) to manage and deploy GCP data resources.
- Collaboration: Work closely with Data Scientists and Analysts to ensure data quality and accessibility.
Qualifications
- Programming: Strong proficiency in Java (mandatory); experience with Python or Scala is a strong plus.
- Big Data Frameworks: Deep experience with Apache Beam (for Dataflow), Apache Spark, or Hadoop.
- GCP Expertise:
- BigQuery: Mastery in SQL, partitioning, clustering, and materialized views.
- Cloud Dataflow: Building and monitoring stream/batch pipelines.
- Cloud Storage: Managing data lakes/buckets.
- Data Warehousing: Solid understanding of dimensional modeling (Star/Snowflake schemas) and Data Vault.
- Workflow Orchestration: Experience with Cloud Composer (Airflow) for job scheduling and dependency management.
- Database Knowledge: Experience with both RDBMS (PostgreSQL/MySQL) and NoSQL databases.
- GCP Professional Data Engineer Certification.
- Experience with streaming data architectures (Kafka or Pub/Sub).
- Knowledge of CI/CD pipelines (GitHub Actions, Cloud Build).
- Experience in migrating legacy on-premise data warehouses to GCP.
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Job application FAQ
Last updated 7 November 2026
- How do I apply for Senior Data Engineer (Big Data & ETL) at Ampstek?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Ampstek may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Engineer (Big Data & ETL) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer (Big Data & ETL) remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer (Big Data & ETL) role at Ampstek?
- This is a senior Senior Data Engineer (Big Data & ETL) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.