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SQL-ETL Developer

6 - 10 years

6 - 10 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

SQL DEVELOPER:

 

  • Design and implement relational database structures optimized for performance and scalability.
  • Develop and maintain complex SQL queries, stored procedures, triggers, and functions.
  • Optimize database performance through indexing, query tuning, and regular maintenance.
  • Ensure data integrity, consistency, and security across multiple environments.
  • Collaborate with cross-functional teams to integrate SQL databases with applications and reporting tools.
  • Develop and manage ETL (Extract, Transform, Load) processes for data ingestion and transformation.
  • Monitor and troubleshoot database performance issues.
  • Automate routine database tasks using scripts and tools.
  • Document database architecture, processes, and procedures for future reference.
  • Stay updated with the latest SQL best practices and database technologies.Data Retrieval: SQL Developers must be able to query large and complex databases to extract relevant data for analysis or reporting.
  • Data Transformation: They often clean, join, and reshape data using SQL to prepare it for downstream processes like analytics or machine learning.
  • Performance Optimization: Writing queries that run efficiently is key, especially when dealing with big data or real-time systems.
  • Understanding of Database Schemas: Knowing how tables relate and how to navigate normalized or denormalized structures is essential.

 

QE:

 

  • Design, develop, and execute test plans and test cases for data pipelines, ETL processes, and data platforms.
  • Validate data quality, integrity, and consistency across various data sources and destinations.
  • Automate data validation and testing using tools such as PyTest, Great Expectations, or custom Python/SQL scripts.
  • Collaborate with data engineers, analysts, and product managers to understand data requirements and ensure test coverage.
  • Monitor data pipelines and proactively identify data quality issues or anomalies.
  • Contribute to the development of data quality frameworks and best practices.
  • Participate in code reviews and provide feedback on data quality and testability.
  • Strong SQL skills and experience with large-scale data sets.
  • Proficiency in Python or another scripting language for test automation.
  • Experience with data testing tools 
  • Familiarity with cloud platforms and data warehousing solutions

 

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Coforge

Information Technology

Gurgaon

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