Job description
About the Role
We are looking for a highly skilled Senior Data Engineer to take complete technical ownership of our data infrastructure. You will be at the core of our data engineering function designing and maintaining our Snowflake-based data warehouse, managing data pipelines, and enabling fast, reliable, and insightful analytics across the business.
This role demands hands-on technical leadership, deep data engineering expertise, and strong collaboration skills with stakeholders across Finance, Go-To-Market, Sales & Marketing, and Compliance teams.
Key Responsibilities
- Design, build, and optimise scalable, high-performance ETL/ELT pipelines.
- Maintain and enhance our Snowflake data warehouse to ensure clean, well-modelled, and trustworthy data.
- Collaborate with analytics, product, and business teams to translate data needs into effective technical solutions.
- Enable self-service analytics by structuring data for intuitive reporting and exploration.
- Implement best practices for data quality, testing, documentation, and orchestration.
- Mentor junior engineers and actively participate in code reviews and technical design sessions.
Required Skills & Qualifications
- Expert-level SQL and strong Python skills for data transformation and automation.
- Proven experience in designing, building, and maintaining data warehouses or data lake architectures.
- Strong track record of developing and optimising robust data pipelines from multiple data sources.
- Knowledge of modern data modelling techniques (e.g., Star Schema, Slowly Changing Dimensions, Incremental Models).
- Experience working directly with stakeholders to gather requirements and deliver actionable solutions.
- Ability to work independently and lead projects from concept to completion.
Preferred Skills (Nice to Have)
- Hands-on experience with Snowflake, dbt, Airflow, or similar tools.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with BI tools like Looker, Tableau, or Amazon QuickSight.
- Knowledge of version control and CI/CD workflows in a data engineering environment.
Role: DBA / Data warehousing – Other
Experience: 10 to 15 years
CTC: 20 LPA to 30 LPA
Job Location: Hyderabad
Industry Type: IT Services & Consulting
Department: Engineering – Software & QA
Employment Type: Full Time, Permanent
Role Category: DBA / Data warehousing
Education
UG: B.Tech/B.E. in Any Specialisation
PG: MCA in Any Specialization, M.Tech in Any Specialization