Lead Data Engineer

Experience: 06 - 10 Years

We are seeking a highly skilled and motivated Data Engineer to join our team and help build robust, scalable, and efficient data infrastructure. You will play a key role in designing and maintaining data pipelines, ensuring data quality, and supporting analytics and AI initiatives.

Key Responsibilities:

• Working as a IC
• Understand the design / task and develop the code.
• Perform mid to complex level tasks with minimal supervision
• Documentation
• Less supervision & guidance from senior resources will be required.

Required Skills:

• Design and implement scalable data architecture, including views, fact and dimension tables.
• Develop and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.
• Write efficient and optimized SQL queries for data extraction and transformation.
• Build and monitor data quality checks and pipeline health metrics.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Work with cloud platforms, ideally AWS (e.g., S3, Lambda), to deploy and manage data solutions.
• Utilize Python for data processing, automation, and integration tasks.
• Leverage Snowflake for data warehousing and analytics (experience is a plus).
• Support GenAI development initiatives in Python or demonstrate the ability and willingness to learn.

Certification If Any

• Min Basic level certification in AWS
• Snowflake Associate / Core