PL/SQL Architect

3 days ago

Bengaluru, India HGS - Hinduja Global Solutions Full time

Role Title: Software Architect Analytics (PL/SQL)

Location: Bangalore, India. Should be willing to travel domestic and international


Responsibilities include:


  • Project delivery: Working as a team lead to deliver projects
  • Database objects: Creating database objects like tables, indexes, views, sequences, and packages
  • Process design and development: Designing and developing processes like loading data from internal and external systems
  • ETL code: Extracting, transforming, and loading data
  • Design and implement ETL processes for data transformation and preparation
  • Deploy machine learning models to production environments
  • Manage data pipelines for analytics and operational use
  • Ensure data accuracy and integrity across multiple sources and systems
  • SQL query tuning: Using Explain Plan and hints to reduce response time
  • Program development: Designing, developing, testing, and deploying complex PL/SQL programs using PostgreSQL, MSSQL, MySQL
  • Stored procedures: Developing stored procedures, functions, packages, triggers, and scripts to automate business logic
  • Database performance optimization: Optimizing database performance by analyzing query execution plans and rewriting slow queries
  • Automated unit test packages: Writing automated unit test packages by creating test data for all test scenarios, writing asserts for the test case, and executing test cases
  • QA team coordination: Co-coordinating with the QA team for testing in QA Environment to get sign off
  • Code push in production: Getting code pushed in production
  • Technical support: Participating in 24x7 rotational technical support to solve business problems
  • Interfacing with teams: Interfacing with Functional team, Application Development Team and infrastructure teams


  • Education Qualification and Professional experience:
  • Bachelor’s Degree
  • 8 to 10 years of relevant experience in the IT/ ITES sector


Mandatory experience required:

  • 5+ years of experience in data engineering within a production environment
  • Advanced knowledge of Python and Linux shell scripting for data processing
  • Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB)
  • Familiarity with Docker, Kubernetes, and cloud services (AWS)

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