Manager Engineering at NielsenIQ
Pune City, maharashtra, India -
Full Time


Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Databricks, Apache Spark, Python, Relational Databases, NoSQL Databases, PostgreSQL, MongoDB, Big Data Technologies, Hadoop, Delta Lake, Kafka, Data Architecture, ETL, ELT, Cloud Platforms, AWS, Azure, GCP

Industry

Software Development

Description
Job Description We are seeking a highly experienced Engineering Manager to lead our global data engineering team from our Pune-based GCC. This role combines technical leadership with people management, focusing on building scalable data platforms using modern technologies like Databricks, Python, and big data ecosystems. Key Responsibilities Lead and manage a distributed team of 8+ data engineers across geographies Architect and oversee development of robust, scalable data pipelines and platforms Collaborate with global stakeholders across Product, Data Science, and Business Analytics Ensure high performance, reliability, and maintainability of data systems Drive best practices in coding, testing, deployment, and documentation Mentor and coach engineers for technical growth and career development Manage sprint planning, delivery timelines, and stakeholder communication Promote a culture of innovation, ownership, and continuous improvement Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 10+ years of experience in software/data engineering Minimum 5 years of experience managing engineering teams of 8+ members Proven experience working with global or GCC-based development teams Strong expertise in: Databricks and Apache Spark Python for data workflows Relational and NoSQL databases (e.g., PostgreSQL, MongoDB) Big Data technologies (e.g., Hadoop, Delta Lake, Kafka) Solid understanding of data architecture, ETL/ELT pipelines, and cloud platforms (AWS/Azure/GCP) Excellent communication and stakeholder management skills Preferred Skills Experience with CI/CD and DevOps practices in data environments Familiarity with data governance, security, and compliance frameworks Exposure to Agile/Scrum methodologies Certifications in cloud or data engineering platforms Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
Responsibilities
Lead and manage a distributed team of data engineers while overseeing the development of scalable data pipelines and platforms. Collaborate with global stakeholders to ensure high performance and reliability of data systems.
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