Data Engineer – SQL; StreamSets

Employment Type

-Full-Time Preferred

Experience Required-4–6 Years

Work Mode-On-site

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human‑centric digital experiences.

We bring together core competencies in AI, analytics, app development, cloud, commerce, CX, data, Dev Ops, IoT, mobile, quality engineering, and UX with proprietary accelerators and platforms.

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence across multiple continents and delivery centers.

We are seeking a skilled Data Engineer with strong SQL expertise and hands‑on exposure to Stream Sets. The ideal candidate will be responsible for designing, developing, and optimizing ETL/data pipelines and supporting enterprise data engineering initiatives.

• Design, develop, and optimize SQL queries and database solutions
• Build and maintain ETL pipelines using Stream Sets
• Collaborate with business and technical teams to deliver scalable data solutions
• Monitor data workflows and troubleshoot performance issues
• Ensure data quality, governance, and security standards
• Support reporting and analytics requirements
• Document technical processes and workflows

• 3–5 years of experience in SQL development and data engineering
• Strong understanding of relational databases and data warehousing concepts
• Hands‑on exposure to Stream Sets or similar ETL tools
• Experience in writing complex SQL queries, stored procedures, and performance tuning
• Strong analytical and problem‑solving skills

• Exposure to AWS, Azure, or GCP
• Knowledge of Python or Shell scripting
• Familiarity with Spark or Hadoop
• Stream Sets certification is a plus

Bachelor’s degree in computer science, Information Systems, or related field

• Competitive compensation
• Career growth and learning opportunities
• Collaborative work environment
• Opportunity to work on enterprise‑scale digital transformation projects