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SQL Engineer +Python

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Wissen

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Location:
India , Mumbai

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Wissen Technology is hiring a SQL Engineer with strong expertise in Python and SQL to design, develop, and optimize data pipelines and database processes for large-scale, performance-intensive applications.

Job Responsibility:

  • Develop, optimize, and maintain complex SQL queries, stored procedures, triggers, and packages (Oracle / SQL Server)
  • Write high-quality PL/SQL code for performance-intensive applications
  • Perform query tuning using execution plan analysis, statistics review, and optimizer hints
  • Apply strong understanding of database internals — indexing strategies, caching, buffer pools, memory management
  • Implement partitioning, sharding, and parallel query execution techniques for large datasets
  • Build and optimize ETL/ELT pipelines for large-scale batch and streaming data processing
  • Improve data ingestion, transformation, and consumption efficiency across systems
  • Collaborate with trading, finance, risk, and operations teams to ensure data quality and usability
  • Conduct detailed performance profiling using AWR, ASH, OEM, Query Store, and EXPLAIN PLAN
  • Identify system bottlenecks and implement tuning strategies across applications, databases, and pipelines
  • Execute load testing and benchmarking using Python, JMeter, or similar tools
  • Develop Python scripts and utilities for automation, performance testing, data validation, and pipeline orchestration
  • Integrate Python applications with databases, APIs, and internal systems

Requirements:

  • Strong proficiency in SQL (Oracle / SQL Server)
  • Advanced experience in PL/SQL for stored procedures, triggers, and packages
  • Solid Python programming experience
  • Hands-on experience with query tuning, execution plan analysis, and optimizer hints
  • Strong understanding of database internals (indexes, caching, buffer pools, memory management)
  • Experience in performance profiling tools (AWR, ASH, OEM, EXPLAIN PLAN, Query Store)
  • Familiarity with ETL/ELT pipeline optimization (batch vs. stream processing)
  • Knowledge of partitioning, sharding, and parallel query execution strategies

Nice to have:

  • Experience with cloud platforms (AWS, Azure, GCP)
  • Familiarity with containerization tools like Docker and orchestration using Kubernetes
  • Exposure to big data technologies and distribution systems

Additional Information:

Job Posted:
January 04, 2026

Employment Type:
Fulltime
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