Project Lead - Data Engineering
Tata Elxsi (company site, opens in a new tab)6–8 yrsRemoteDirect career pageEst. 18–30 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and implementation of scalable data engineering solutions using Snowflake, Apache Airflow, DBT, Matillion, and cloud-native services.
- Manage multiple data engineering projects to ensure on-time delivery, quality outcomes, and alignment with business objectives while collaborating with cross-functional teams.
- Lead and mentor a team of data engineers, establish coding standards, and drive platform reliability, automation, and innovation initiatives.
Minimum Requirements
- 6-8 years of experience in Data Engineering, Data Platform Development, or related roles with proven technical project leadership.
- Strong expertise in Snowflake or equivalent cloud data warehouse technologies and hands-on experience with Apache Airflow, DBT, Matillion, and ELT/ETL architectures.
- Experience building cloud-native data solutions on Azure (preferred) and/or AWS with strong SQL and Python programming skills.
- Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.
Ideal Candidate Profile
- Experienced data engineering leader capable of driving technical decisions and influencing architecture standards in large-scale enterprise environments.
- Demonstrated ability to manage complex projects and collaborate effectively across data architects, scientists, ML engineers, and business stakeholders.
- Skilled in mentoring and developing engineering teams while promoting engineering excellence, automation, and continuous improvement.