Lead Data Engineer
First seen by Alion on Sep 4, 2026.
Must-Have Skills :
- 9+ years of relevant experience in Data Engineering and project delivery.
- Strong expertise in Big Data concepts and cloud implementation projects.
- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
- Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
- Capability to perform coding, debugging, performance tuning, and deploying applications to production environments.
- Strong problem-solving abilities, analytical skills, and aptitude for ownership.
- Skilled in Agile Methodology with experience in iterative project deliveries.
- Quick learner with the ability to lead team members in adopting new technologies.
- Exceptional communication and stakeholder management skills.
Good-to-Have Skills :
- Familiarity with DevOps tools and practices (e.g., Jenkins, Git) and experience in CI/CD pipelines.
- Knowledge of Spark, SQL (with Snowflake exposure), and advanced Big Data Concepts.
- Experience with cloud migrations and development projects.
- Knowledge of US insurance and reinsurance domain.
- Knowledge of Data Vault 2.0.
Role & Responsibilities :
- Lead and oversee project delivery, ensuring timely completion with high quality.
- Collaborate with clients and offshore leads to gather requirements and define high-level designs.
- Direct development and unit testing activities while maintaining strong alignment with project goals.
- Communicate effectively with stakeholders, providing regular updates on task and project statuses.
- Identify, track, and address project risks or issues promptly.
- Work closely with management to ensure seamless execution of tasks.
- Provide technical guidance to the team, outlining design, implementation, and delivery strategies.
Education :
- Bachelor's Degree in Engineering (BE/B.Tech) from a reputed institution.
Skills
Data Engineering, Python, SQL, ETL, PySpark, AWS, Aurora CosmoDB, Aurora PostgreSQL, Big Data, Snowflake DB