Hiring AWS Data Engineer For our MNC Client

Role Overview: We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain a robust data platform and efficient data pipelines to help our customers make data-driven investment decisions. You will work closely with Product and Engineering teams to enhance and support our data platform, ensuring high-quality, secure, and scalable data solutions. As a technical leader, you'll leverage your deep expertise in data engineering to empower teams across the organization with data-driven insights.

Key Responsibilities:

• Design, develop, and maintain a secure, fast, and reliable data platform.
• Engineer scalable and adaptable data pipelines to process large volumes of data.
• Integrate and manage multiple data sources, including databases, APIs, and files.
• Build standardized datasets to support diverse business use cases.
• Ensure data quality through rigorous monitoring and automated controls.
• Collaborate with product and engineering teams to align platform development with product changes.
• Support cross-functional teams by providing tailored data solutions and insights.

Qualifications:

• 5+ years of experience as a Data Engineer.
• Strong experience with data modeling, Snowflake/Star schema, and MLOps.
• Expertise in Data Warehouse technologies (e.g., Snowflake, AWS Redshift).
• Hands-on experience with AWS data pipelines (Lambda, Glue, Step Functions).
• Proficient in SQL and a major programming language (e.g., Python, Java).
• Familiarity with data analysis tools (Looker, Tableau) and libraries (Pandas, Numpy).