Senior Data Engineer (Dataform / BigQuery)

Locations: Mumbai, Maharashtra | Bengaluru, Karnataka | Hyderabad, Telangana | Gurugram, Haryana
Employment Type: Full-time
Work Schedule: 5 days/week
Experience: 6–10 Years

Job Summary

We are looking for a Senior Data Engineer to design and build scalable data systems and pipelines. The ideal candidate will have strong experience in ETL/ELT workflows, cloud platforms, and modern data transformation tools, with exposure to large-scale data environments.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
- Implement data transformation and modeling using tools such as Dataform or dbt
- Develop and optimize data solutions on cloud platforms (GCP, AWS, or Azure)
- Work with BigQuery or other data warehouse technologies
- Collaborate with analysts, data scientists, and business teams to deliver reliable data solutions
- Apply data governance, data quality, and best practices across the data lifecycle
- Monitor, troubleshoot, and resolve data pipeline issues
- Support data migration initiatives and contribute to modern data architecture practices

Required Skills & Experience

- 6–10 years of experience in data engineering
- Strong experience with ETL/ELT pipeline design and data workflow orchestration
- Hands-on experience with Dataform, dbt, BigQuery, or similar tools
- Experience with cloud platforms such as GCP, AWS, or Azure
- Strong proficiency in SQL and programming in Python
- Experience with data modeling, including Slowly Changing Dimensions (SCD)
- Ability to build and maintain scalable data pipelines

Preferred Skills





- Experience with Spark or PySpark
- Exposure to data migration or modern data architectures
- Experience in data-driven environments

Qualifications

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Additional Information

- Candidates who are available to join within a short notice period or immediately will be given preference

Work Environment & Advantages

- Opportunity to work on modern cloud data platforms
- Collaborative and growth-oriented work environment
- Learning and development opportunities

If you are interested in building scalable data systems and advanced data pipelines, we encourage you to apply.

Pay: ₹3,200,000.00 - ₹4,200,000.00 per year

Benefits:

- Health insurance
- Life insurance
- Paid time off
- Provident Fund

Application Question(s):

- Are you serving notice or available to join within 15 days?
- Have you had any career gaps or frequent job switches? If yes, please explain in detail
- What's your preferred work location (Bengaluru / Hyderabad / Mumbai /Gurugram)?
- Have you implemented SCD Type 1 or Type 2? Can you explain where and how? (In Detail)
- Have you implemented SCD Type 1 or Type 2? Can you explain in detail where and how? (TP's make sure it is mentioned in the CV as well.)
- Are you available on 18th and 19th April (Saturday & Sunday) between 10 to 6 PM for the virtual interview?

Experience:

- BigQuery: 6 years (Required)
- Dataform: 6 years (Required)
- SQL: 6 years (Required)
- ETL/ELT pipeline design: 6 years (Required)
- data modeling, data warehouse: 6 years (Required)

Work Location: On the road

📌 Senior Data Engineer (Dataform, BigQuery) (India)
🏢 Skillence Tech
📍 India