DBMS: Deep familiarity with standard relational databases like MySQL or enterprise analytical data warehouses like AWS Redshift.
Writing and Tuning Code: Mastery of advanced DDL/DML, analytical window functions, Common Table Expressions (CTEs), and complex set-based logic.
Knowledge/experience of DataBricks architecture will be a huge bonus. Experience in the AWS ecosystem will also be a bonus.
Programming & Automation: Standard scripting capabilities. Deep knowledge in Python will be a huge plus; knowledge in Shell scripting will also be a plus.
Query Performance Tuning:
Expertise reading execution plans, rewriting problematic queries, eliminating cursor-based loops, and mitigating concurrency issues like deadlocks.
Apply robust analytical and problem-solving skills to debug data anomalies and support healthcare risk modelling platforms.
Act as a technical anchor for the team, establishing engineering best practices and mentoring mid-level engineers.
Collaborate closely with US stakeholders to ensure high availability and seamless execution of the Risk & Analytics module.
📌 Data Development Engineers (Kolkata)
🏢 Shell Infotech
📍 Kolkata
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