Pl/sql architect

1 day 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 Postgre SQL, MSSQL, My SQL
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/No SQL databases (e.g., Redshift, Postgres, Mongo DB)
Familiarity with Docker, Kubernetes, and cloud services (AWS)

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