Associate/Jr Data Engineer - Data Engineering

Level: Associate/Jr Data Engineer - Data Engineering

Experience: 2 Years

Location: Any , Bangalore Preferred, Chennai, Hyderabad or Noida

Website: https://www.qualitestgroup.com/

About Us:

Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR. Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity. Qualitest has offices in the United States, United Kingdom, Germany, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina. It employs more than 7,000 engineers who serve over 400 customers worldwide. A pioneer and innovator in its industry, Qualitest is the only services provider positioned by Everest Group as a Leader in both Next-generation Quality Engineering (QE) Services PEAK Matrix® Assessment 2023 and the Quality Engineering (QE) Specialist Services PEAK Matrix® Assessment 2023.

Responsibilities:

• Develop and optimize scalable data pipelines for efficient data migration from relational databases to data lakes and data warehouses.
• Design, build, and manage ETL processes to support business needs and ensure high data availability.
• Perform complex data transformations using SQL and Spark to enable insightful data analysis.
• Conduct performance tuning to improve the speed and reliability of data pipelines.
• Implement data validation and quality checks to ensure data integrity and accuracy throughout the migration process.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver high-quality solutions.
• Troubleshoot and resolve issues in data pipelines and ETL processes to minimize downtime and maintain data consistency.