Job Description

Role:

We're looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You'll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, and optimized for scale. If you thrive on solving complex problems, love optimizing systems for performance, and want to be the go-to expert in a team-oriented, high-impact setting, we'd love to meet you.

Key Responsibilities:
Design and maintain scalable, effective, and well-partitioned schemas in MSSQL, Redshift, and Snowflake
Architect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasets
Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers
Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments




Collaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirements
Proactively identify and remediate performance bottlenecks, slow queries, and data inconsistencies
Implement and manage database change workflows using schema migration/versioning tools
Define and promote best practices for data access, security, compliance, and observability

Requirements:
Bachelor's or Master's degree in Engineering, Computer Applications, or a related field

What You'll Bring:
8+ years of experience in database engineering or backend systems development
Deep expertise with MySQL, Amazon Redshift, and Snowflake, including schema design and performance optimization
Experience in designing, building, and maintaining scalable data pipelines and ETL processes tailored to client needs
Proven track record in maintaining data freshness SLAs and ensurin

📌 Sr Data Engineer Hyderabad (India)
🏢 kanerika software
📍 India