Job Summary
Experience:
6.00 - 11.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Bangalore,Gurgaon,Hyderabad
Functional Area:
IT Software - Application Programming / Maintenance
Designation:
Senior Data Engineer GGN/BLR/Pun/Mohali/Hyd/Panchkula/Mum
Key Skills:
SQL, DBT, Databricks, PySpark, and Airflow
Educational Level:
Graduate/Bachelors
Job Post Date:
2026-09-30
Stream of Study:
Degree:
BA, BBA, BBA/BMS, BBI, BCA, BCom, BCS, BDES, BE-Comp/IT, BEd, BE-Other, BFA, BFM, BIS, BIT, BMS, BSc-Comp/IT, BSc-Other, BTech-Comp/IT, BTech-Other
Company Description
Our client is committed to combining cutting-edge innovation with exceptional product, service, and operation performance. We specialize in Artificial Intelligence, Metaverse, Blockchain, Machine Learning, AR/VR, Big data, IoT, and DevOps software development among others willingness to invest in new ideas, technologies, and approaches to solve problems or create better products and services. Our unwavering dedication to harnessing the power of innovation and forward-thinking solutions to shape what lies ahead. As we move forward, we recognize the pivotal role that cutting-edge programming technologies play in crafting the future. Our commitment extends beyond the mere development of reliable technology. when harnessed with precision and purpose, becomes a potent force for change. With a relentless focus on-time delivery, continuous testing, attentive response to feedback, and an unceasing drive for improvement. The route our organization is committed to following while also delivering leadership in digital transformation to our clients.
Job Description
Job Description:
We are looking for a highly skilled Senior Data Engineer to join the Data Science team and help build scalable, reliable, and production-grade data infrastructure that powers machine learning models, experimentation, and operational decision-making.
Key Responsibilities:
Design, develop, and maintain scalable DBT models that produce reliable datasets, features, and business metrics.
Build and optimize Databricks / PySpark pipelines to process large-scale operational and analytical data.
Develop production-ready workflows using Airflow and Prefect with strong SLA adherence.
Create and maintain Delta/Iceberg tables and lakehouse data architectures.
Partner closely with Data Scientists and ML Engineers to productionize feature engineering pipelines.
Improve performance, scalability, and cost efficiency of Spark and DBT workloads.
Implement strong data quality, testing, documentation, and monitoring practices.
Participate in peer code reviews and contribute to engineering best practices.
Required Skills:
Strong hands-on experience in SQL, DBT, Databricks, PySpark, and Airflow.
Experience working with distributed data systems and large-scale data processing.
Good understanding of data modeling, orchestration, and pipeline optimization.
Experience with Infrastructure-as-Code tools such as Terraform, AWS CDK, or Pulumi.
Familiarity with Delta Lake / Iceberg architectures.
Strong communication and collaboration skills.
Nice to Have:
Experience with Kinesis or other streaming systems.
Exposure to MLOps or ML/AI teams.
Experience working with globally distributed engineering teams.
Familiarity with AI-assisted engineering tools such as Cursor, Copilot, or Claude Code.
Please go through the meeting notes from our client meeting last night, with the hiring managers for the data engineer role.
