Job Title: Specialist - Data Engineering
Location: Hybrid-Hyderabad/Mumbai/Pune/Bengaluru/Chennai
About The Job
We are seeking a seasoned Data Engineer with
4 to 6 years of experience to work onand handle enterprise-level projects. The ideal candidate will have strong expertise in SQL, ETL pipelines, Python and experience with AWS cloud-based platform services and other cutting-edge technologies. This role requires experience in CI/CD pipelines and automation tools for data engineering.
What You Will Do
- Design and build data pipelines: Automate the flow of data from various sources to storage systems like data lakes or warehouses
- Develop ETL/ELT processes: Extract, transform, and load data into usable formats for analysis
- Manage data storage: Choose and maintain scalable storage solutions (e.g., relational databases, NoSQL, data lakes)
- Ensure data quality and integrity: Implement validation rules, cleansing routines, and monitoring systems
- Optimize performance: Tune queries, pipelines, and infrastructure for speed and scalability
- Collaborate with data scientists and analysts: Provide clean, structured data for modeling and reporting
Who You Are
Education & Experience:
- Bachelor's degree in computer science, computer engineering, software engineering, or a related area, or equivalent experience, desired.
- Bachelor's degree with 4 6 years of relevant work experience.
Technical Skills
- Strong understanding and experience in SQL( PostgreSQL,Oracle ,SQL Server etc ) and NO SQL Databases( MongoDB,DynamoDB etc ) .
- Solid experience in building ETL pipelines, Python and experience with AWS cloud-based platform services( DMS, Event Bridge, Lambda, Redshift,RDS ,S 3,Glue etc ) .
- Experience with CI/CD pipelines and automation tools for data engineering .
- Excellent analytical and problem-solving skills .
- Experience in data dictionaries, materialized views, Performance Tuning.
- Must have experience of Writing, modifying packages, stored procedures, functions, views, and advanced/complex SQL queries hands-on.
Soft Skills
- Commitment to learn and Deliver .
- Good communication skills (Written and Oral) .
- Willingness to learn, train, and mentor subordinates .
- English Language proficiency is required to effectively communicate in a professional environment.
- Strong problem-solving skills and a creative mindset to bring fresh ideas to the table.
- Should demonstrate confidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner.
- Should be accountable and responsible for deliverables and outcomes.
- Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results.
- Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions.
- Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.
