At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Summary

We are looking for a powerhouse Engineering Manager who hasn't lost their love for code. As a first-level manager, you will bridge the gap between high-level strategy and deep-dive technical execution. You will lead, mentor, and grow a talented team of engineers while remaining actively hands-on (approx. 50% management/architecture and 50% coding/code reviews).

The ideal candidate is a veteran engineer with over a decade of experience, possessing a robust background in building scalable Data Engineering pipelines coupled with strong Java backend fundamentals.

Leadership & People Management

• Team Guidance: Lead, mentor, and inspire a team of 5–8 data and backend engineers, fostering a culture of high performance and continuous learning.

• Delivery Management: Own the end-to-end delivery of your team's roadmap using Agile/Scrum methodologies.

• Career Growth: Conduct regular 1-on-1s, set performance goals, and provide constructive feedback to help your engineers grow.

Technical & Hands-on Execution

• Architecture & Design: Design and implement scalable, robust data pipelines and backend services.

• Code Quality: Actively participate in coding, code reviews, and architectural discussions to ensure high-quality, maintainable code.

• Tech Stack Alignment: Seamlessly blend large-scale data processing systems with robust Java-based microservices.

Required Skills & Qualifications

Must-Haves

• Experience: 10+ years of total experience in software engineering, with at least 1–2 years in a formal or informal leadership role (Team Lead/Tech Lead/Manager).

• Data Engineering Expertise: Proven track record building big data pipelines using technologies like Spark, Hadoop, Kafka, Flink, or cloud-native data warehouses (Snowflake, BigQuery, Redshift).

• Java Proficiency: Strong, production-grade experience in Java (8+) and frameworks like Spring Boot for building scalable backend services/microservices.

• Data Modelling: Deep understanding of SQL/NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) and data warehousing concepts.

• Familiarity with containerization and orchestration (Docker, Kubernetes).

• Experience managing CI/CD pipelines (Jenkins, GitLab CI).

• Location: Currently based in, or willing to relocate to, Bangalore.

Nice-to-Haves

• Experience on migration projects or tech transformation on Cloud platforms (AWS, GCP, or Azure).

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