Technical Lead – Data Engineer
Bengaluru · Staff/Principal
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Job description
We are seeking an experienced Technical Lead to guide a team of Data Engineers building and maintaining data pipelines on DBT Core and Amazon Redshift, with Airflow orchestration as a plus. This role sits between individual contributors and Solution Managers, responsible for technical direction, code quality, and hands-on problem-solving across the data engineering pod. The Technical Lead will need strong SQL and data modeling depth to guide design decisions, review work, and unblock the team — while also being comfortable engaging with business stakeholders given the visibility of this work
Open Positions
7
Skills Required
Data Build Tool (Dbt), Snowflake / Redshift, Lead Data Engineer, AWS, Advanced SQL Queries, ETL, Data Modeling, Dimensional Modeling, Python
Role
Roles and Responsibilities
- Provide technical direction and hands-on guidance to a team of Data Engineers working on DBT models and Redshift pipelines
- Review DBT model design, SQL logic, and data transformations for correctness, performance, and maintainability
- Own data modeling decisions — dimensional modeling, schema design, and layering (staging/intermediate/marts)
- Troubleshoot complex pipeline, query performance, and data quality issues escalated by the team
- Coordinate with Solution Managers on delivery planning, task breakdown, and technical risk visibility
- Guide adoption of Airflow orchestration practices where applicable
- Mentor Data Engineers on SQL, data modeling, and DBT best practices
- Represent the technical team in front of business stakeholders and partners as needed
- Ensure consistency and standards across the data engineering pod's deliverables
Education/Qualification
Bachelor’s / Master’s degree in Computer Science, Engineering, or related field
Desirable Skills
Airflow, AWS Glue, Astronomer cosmos
Years Of Exp
7 to 10 years
Designation
Senior Software Engineer
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