Senior Analyst - Data Engineering

Designation: Senior Analyst Data Engineering Level : L2 Experience: 4 to 6 years Location : Bengaluru Job Description: We are seeking a highly motivated and technically strong Data Engineer who thrives in fast-paced environments and enjoys solving complex business problems through innovative and scalable data solutions The ideal candidate is not just a developer, but an engineer who can quickly learn emerging technologies, adapt to changing business needs, and deliver nimble, reusable, and production-ready solutions This role requires a strong foundation in modern data engineering, cloud platforms, automation, and software engineering best practices Responsibilities: Data Engineering Platform Development Design, develop, and maintain scalable data pipelines using modern cloud technologies Build and optimize data ingestion, transformation, and integration frameworks Develop reusable components, utilities, and accelerators that reduce development effort and improve delivery speed Implement robust data quality, monitoring, auditability, and operational controls Design solutions that support both batch and event-driven processing patterns Cloud Modernization Initiatives Participate in cloud migration and modernization efforts Leverage cloud-native services to improve scalability, reliability, security, and cost efficiency Evaluate emerging technologies and recommend innovative solutions aligned with enterprise architecture standards Engineering Excellence Apply software engineering principles to data engineering solutions Drive automation across deployment, testing, monitoring, and operational support processes Continuously improve platform performance, reliability, and maintainability Troubleshoot complex production issues and provide timely resolutions Collaboration Leadership Partner with business stakeholders, architects, and product teams to translate requirements into technical solutions Mentor junior engineers and promote engineering best practices Contribute to architectural discussions and technology evaluations Foster a culture of continuous learning, innovation, and ownership Skills 4+ years of experience in Data Engineering, Software Engineering, or related technical roles Bachelors degree in Computer Science, Engineering, Information Systems, or related field Strong experience with SQL, Python and large-scale data processing Hands-on experience with cloud platforms, preferably: o Microsoft Azure Experience with modern data platforms such as: o Databricks o Apache Spark Strong programming skills in Python Experience designing scalable ETL/ELT pipelines Familiarity with CI/CD [Asset Bundle preferred], DevOps, and Infrastructure-as-Code principles Experience working with relational and distributed data platforms Preferred Qualifications Experience with: o Event-driven architectures o Streaming platforms o API integrations o Data warehousing and lakehouse architectures Knowledge of: o Data governance o Metadata management o Data quality frameworks o Observability and monitoring solutions Experience building reusable frameworks and shared engineering utilities Exposure to AI/ML enablement platforms and mod Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.