• Primary skills:Technology->Big Data - Data Processing->Spark

Key Responsibilities:

• Design, develop, and maintain scalable data processing jobs using Spark for batch and/or near-real-time workloads.
• Analyze large datasets to identify trends, anomalies, and data quality issues; implement validation and reconciliation checks.
• Optimize Spark applications for performance by tuning partitions, caching strategies, memory usage, and execution plans.
• Collaborate with cross-functional teams to translate business requirements into technical solutions and well-defined deliverables.
• Implement robust error handling, logging, and monitoring to ensure reliability and easier troubleshooting.
• Participate in code reviews, follow engineering best practices, and contribute to reusable components and standards.
• Support deployments and production issues by performing root-cause analysis and implementing preventive fixes. Minimum Qualifications:
• Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Science or related field (BTech/BE/MSc or equivalent).




• 3–5 years of experience working on data engineering or big data processing initiatives.
• Hands-on experience building and maintaining Spark-based data processing solutions.
• Strong understanding of distributed computing concepts and data processing fundamentals.
• Ability to work independently on assigned modules and collaborate effectively within a team. Preferred Qualifications:
• Master’s degree (MTech/MCA or equivalent) in a relevant discipline.
• Proven experience delivering end-to-end Spark pipelines, including development, testing, and production support.
• Experience improving job performance and stability through Spark tuning and structured troubleshooting practices.
• Familiarity with building reusable frameworks/components to standardize Spark development across projects.
• Robust communication skills to explain technical trade-offs and align solutions with stakeholder expectations. Good to h

📌 Spark (Bengaluru)
🏢 Infosys
📍 Bengaluru