Role and Responsibilities:
Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes
Contribute to the design and documentation of our data lake platform
Partner with Sr staff on the development and maintenance of data governance policies and procedures that ensure data quality, accuracy, consistency, and privacy.
Mentor other data engineers, providing technical guidance, and ensuring that team members have the necessary skills and resources to perform their duties.
Conduct code and design reviews with junior and peer developers
Write clean code to develop data pipelines and necessary infrastructure as code
Aid in setting coding standards for team members to follow
Partner with cross functional teams to understand requirements and effectively design appropriate solutions.
Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
Aid in determining and implementing KPIs for performance and stability of platform




Participate in the review of current technologies and tools for our data teams
Partner with engineering and other cross functional teams to collect and implement technical and design requirements
Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects.
Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement.
Participate in an on call rotation.
Job Requirement :
8 years of related experience; or 6 years and an advanced degree
Bachelors degree in engineering, computer science, math, data engineering or another related field or equivalent work experience
Experience in the development of contemporary data architecture, analytics, data governance, AI/ML, or related areas.
Solid Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis
Expert

📌 Staff Data Engineer Gurugram (India)
🏢 ANSR Summit Consulting
📍 India