Description

You will build and maintain the data infrastructure to power analytics and operational insights.

This role is on-site.

Responsibilities

• Design and implement data pipeline architecture to assemble complex datasets.
• Build ETL infrastructure using SQL and AWS big data technologies to extract, transform, and load data.
• Automate manual processes and redesign infrastructure to improve data delivery and scalability.
• Develop analytics tools that leverage data pipelines for key business performance metrics.
• Troubleshoot data workflows, identify bottlenecks, and provide solutions for defect-free applications.

Required Skills

• 2+ years of experience in data warehousing, ETL development, and ETL architecture.
• 2+ years combined experience with database technologies including RDBMS (MSSQL, MySQL, Oracle) or NoSQL (MarkLogic, Snowflake, DynamoDB, Redis).
• Advanced SQL knowledge and experience with relational database query authoring.
• Experience building and optimizing big data pipelines and datasets (5+ terabytes).
• Experience performing root cause analysis on data and processes to identify improvements.
• Working knowledge of version control systems (e.g., SVN, Git).
• Good knowledge of OO Javascript, XHTML, CSS, XML, and Ajax.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Referral Bonus: ₹50,000

Key Skills

Education

Bachelor's degree