Required Technical Skills

• Data Engineering with 3+ years of hands-on experience designing, developing, and supporting large-scale data solutions.
• Strong expertise in Databricks, Snowflake, Azure Cloud, and modern cloud-based data platforms.
• Advanced SQL development and query optimization skills for high-volume data processing.
• Proficiency in Python for data engineering, automation, and application development.
• Extensive experience in ETL/ELT design, development, performance tuning, and implementation.
• Solid understanding of Software Development Life Cycle (SDLC) methodologies, coding standards, and best practices.
• Experience with performance tuning, debugging, and optimization of large-scale data pipelines.
• Knowledge of monitoring, incident management, and production support processes.
• Experience designing, developing, and deploying AI-powered solutions, with a focus on Responsible AI practices and business value realization.

Preferred Skills

• Experience with Azure Data Factory (ADF),DataBricks Spark/PySpark, Delta Lake, and data orchestration frameworks.




• Knowledge of DevOps, CI/CD, Infrastructure as Code, and automation practices.
• Experience in AI/ML solution implementation, Generative AI, and intelligent automation.
• Understanding of data governance, security, compliance, and cloud architecture best practices.

Operational Skills

• Lead critical production issue resolution and drive timely recovery of business services.
• Conduct Root Cause Analysis (RCA) and implement preventive and corrective actions.
• Collaborate with business and technical teams to prioritize and resolve production issues.
• Provide accurate effort estimates, planning, and delivery commitments.
• Perform code reviews and ensure adherence to quality, security, and performance standards.
• Mentor team members and provide technical leadership across projects and support activities.
• Drive continuous improvement initiatives focused on reliability, automation, and ope

📌 Senior Data Engineer (Hyderabad)
🏢 Optum India
📍 Hyderabad