Senior Data Engineer (Big Data Platform) – Infosys Bengaluru

Infosys Limited, a global leader in technology services and consulting, invites applications for a Senior Data Engineer to join our Data & AI practice in Bengaluru. This role focuses on building scalable data platforms, enabling data-driven decision making for clients across industries. You will work with a diverse team of engineers, data scientists, and product owners to deliver reliable data pipelines and analytics-ready datasets.

The ideal candidate thrives in a fast-paced environment, embraces complex data challenges, and has a passion for designing quality data architectures. You will contribute to the entire data lifecycle—from ingestion and processing to governance and security—while mentoring junior teammates and contributing to a culture of continuous improvement.

Location: Bengaluru, Karnataka, India. This hybrid role combines on-site collaboration with flexible remote work options, aligned with project requirements. Infosys offers relocation assistance for suitable candidates and supports employees in pursuing ongoing learning opportunities.

Responsibilities

• Design, develop, and optimize end-to-end data pipelines using Spark, Hadoop, and cloud-native services.
• Build data models and data marts that enable analytics, reporting, and machine learning workloads.
• Ensure data quality, lineage, and governance through profiling, validation, and monitoring tools.
• Collaborate with data scientists and business stakeholders to translate requirements into scalable technical solutions.
• Mentor junior engineers, perform code reviews, and contribute to best practices in CI/CD and DevOps for data systems.
• Implement security controls, access policies, and compliant data handling in line with regulations.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 5-8 years of hands-on experience in data engineering, with strong knowledge of Apache Spark, Hadoop ecosystem, SQL, and Python.
• Experience with cloud platforms (AWS or GCP) and data warehousing concepts.
• Proficiency in data modeling, ETL/ELT design, and modern data tooling.
• Excellent problem-solving, communication, and collaboration skills.

Benefits

• Competitive salary with performance-based incentives.
• Healthcare coverage, life insurance, and wellness programs.
• Employee stock option plan eligibility after a probationary period.
• Flexible work arrangements, generous leave policies, and learning subsidies.

How to Apply

Interested candidates should apply online with an up-to-date resume and a short cover letter outlining relevant projects. Shortlisted applicants will be contacted for a technical interview and a final managerial discussion. Please ensure your profile highlights experience with Spark, data lakes, data warehousing, and cloud data services. If you have any questions, you may reach out to Infosys Careers through the official website.