Better Future Solutions - Java Data Engineer - ETL / Data Warehousing

Job Title : Java - Data Engineer

Experience : 7-12 Years

Location : Hyderabad, Bangalore, Noida, Gurugram, Chennai, Nagpur

About the Company :

Better Future Solutions, Inc. is dedicated to enhancing client profitability and business success through innovative solutions in Workforce Management, ERP, SPI, BPM, Application Development, and IT outsourcing. With a global presence and commitment to customer satisfaction, we consistently deliver value-driven services, achieving a 99% client retention rate.

Role Overview :

We are seeking an experienced Java - Data Engineer who will play a key role in designing, developing, and maintaining robust data pipelines, data models, and data-driven solutions. The ideal candidate will bring strong expertise in Java programming along with deep knowledge of Data Engineering, ETL, Data Warehousing, and Data Analytics to support business-critical initiatives.

Key Responsibilities & KRAs :

• Design, develop, and maintain scalable and efficient data pipelines for data integration and processing.
• Implement ETL workflows to extract, transform, and load large datasets from multiple sources into target systems.
• Develop and optimize data models and schemas to support analytics, reporting, and business intelligence.
• Ensure data quality, integrity, and security across all data platforms.
• Collaborate with cross-functional teams to define data architecture and storage strategies.
• Optimize SQL queries and data warehouse performance for scalability and efficiency.
• Leverage Java programming to build reusable components and frameworks for data engineering solutions.
• Conduct data validation, profiling, and monitoring to ensure accuracy and availability.
• Support data analytics teams by providing clean, structured, and accessible datasets.
• Drive automation of manual data processes to increase efficiency.
• Document technical processes, workflows, and best practices.
• Stay updated with emerging tools, technologies, and best practices in data engineering and big data ecosystems.

Required Skills & Competencies

(ref : hirist.tech)