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Senior Data Engineer (Dataform, BigQuery)
AI Industry
Senior Data Engineer (Dataform, BigQuery)
AI Industry 's logo

Senior Data Engineer (Dataform, BigQuery)

at AI Industry

Agency job
6 - 10 yrs
₹32L - ₹42L / yr
Mumbai, Bengaluru (Bangalore), Hyderabad, Gurugram
Skills
ETL
SQL
Google Cloud Platform (GCP)
Data engineering
ELT
Data Transformation Services
Data Transformation Tool (DBT)
Big Data
Data modeling
Data Warehouse (DWH)
Data warehouse architecture
Data warehouse QA
Datawarehousing
skill iconAmazon Web Services (AWS)
Cloud Computing
AWS CloudFormation
Google Cloud Storage
GCS
Amazon S3
skill iconPython
Spark
PySpark

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.


Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows
  • Work with Dataform or DBT to implement transformation logic and data models
  • Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
  • Support data migration initiatives and data mesh architecture patterns
  • Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
  • Apply data governance and quality best practices across the data lifecycle
  • Troubleshoot pipeline issues and drive proactive monitoring and resolution


Ideal Candidate:

  • Strong Data Engineer Profile
  • Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
  • Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
  • Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
  • Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
  • Must have strong SQL skills with experience in writing complex queries and optimizing performance.
  • Must have programming experience in Python and/or SQL for data processing.
  • Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
  • Exposure to data migration projects and/or data mesh architecture concepts.
  • Experience with Spark / PySpark or large-scale data processing frameworks.
  • Experience working in product-based companies or data-driven environments.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.


NOTE:

  • There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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