Role & responsibilities
Design, develop, and maintain scalable data pipelines and data warehouse solutions using MySQL, AWS Redshift, and other enterprise database platforms.
Develop and optimize complex SQL code leveraging advanced DDL/DML, CTEs, analytical window functions, and set-based processing techniques.
Perform query performance tuning by analyzing execution plans, optimizing inefficient queries, and resolving concurrency issues such as deadlocks.
Build automation and data-processing solutions using Python, with additional scripting support through Shell scripting where applicable.
Troubleshoot data quality issues, investigate data anomalies, and support healthcare risk modeling and analytics platforms.
Leverage modern data engineering technologies, including AWS services and Databricks, to enhance scalability and operational efficiency.
Act as a technical lead by driving engineering best practices,



conducting code reviews, and mentoring team members.

Preferred candidate profile
6+ years of experience in Data Engineering, Data Warehousing, and Advanced SQL development, with strong expertise in MySQL or similar enterprise database platforms.
Proven ability to design, optimize, and troubleshoot large-scale data pipelines, including query performance tuning, execution plan analysis, and database optimization.
Robust programming skills in Python for automation, data processing, and engineering solutions; experience with Shell scripting is an added advantage.
Demonstrated ability to solve complex data challenges, support analytics platforms, mentor team members, and drive engineering best practices in a cooperative setting.

📌 Software Database Developer Bengaluru
🏢 Emids Technologies
📍 Bengaluru