Senior Data Engineer - ETL Pipeline (6-8 yrs)

Key Responsibilities :

- Consult with business and technology stakeholders to understand data requirements, troubleshoot and advise on best-fit AWS data solutions

- Design and implement scalable ETL pipelines using AWS Glue, handling structured and semi-structured data

- Architect and manage modern cloud data warehouses (Amazon Redshift, Snowflake, or equivalent)

- Optimize data pipelines and queries for performance, cost-efficiency, and scalability

- Develop solutions that enable self-service analytics for business and data science teams

- Implement data security, governance, and access controls

- Collaborate with data scientists, analysts, and business stakeholders to understand data needs

- Monitor, troubleshoot, and improve existing data solutions, ensuring high availability and reliability

Required Skills & Experience :

- 6+ years of experience in data engineering in AWS platform

- Strong hands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, IAM

- Proven expertise in data modelling, data warehousing concepts, and SQL optimization

- Experience designing self-service data platforms for business users

- Solid understanding of data security, encryption, and access management

- Proficiency in Python

- Familiarity with DevOps practices & CI/CD

- Strong problem-solving

- Exposure to BI tools (QuickSight, Power BI, Tableau) for self-service enablement

Preferred Qualifications :

- AWS Certified Data Analytics Specialty or Solutions Architect Associate