Senior Data Engineer with Python, Spark & Airflow at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spark, Airflow, Data Engineering, Big Data, SQL, Cloud Computing, Data Pipelines, Machine Learning, Data Science, Kafka, PostgreSQL, Delta Lake, Apache Iceberg, Pandas, APIs, Kubernetes

Industry

Software Development

Description

Job Description Senior Data Engineer, Chennai As a Data Software Engineer, you will be responsible for building new data solutions for our rapidly expanding customer base and working with the top data ingestion technologies, working with a team of amazing, diverse-minded, and bright people who make an impact, generate creative & innovative ideas, and take on new perspectives. Responsibilities Own end-to-end data flows from requirements and architecture through implementation and production operations, including Data acquisition, Data set acceptance criteria, and Data Science integration. Design and build scalable batch and real-time data pipelines and lakehouse solutions with a focus on large-scale data processing. Take responsibility to explore technologies to scale up the Data ecosystem to handle rapid Big Data growth. Partner with Data Science to productionize ML/AI workloads and ensure smooth integration into products. Collaborate with cloud, DevOps, application, and client teams to deliver robust, secure, and scalable solutions that solve meaningful business problems. Evaluate and adopt new technologies and patterns to evolve the data ecosystem as scale and complexity grow. Qualifications 6+ years of backend engineering work experience in production environments (Data-Intensive Systems, Distributed Processing, Databases). B.Sc. / M.Sc. in Computer Science, Computer Engineering, or equivalent. Proficiency in Python; working proficiency in Scala. Strong experience with Big Data processing (Spark, Databricks) and event streaming (Kafka). Experience with orchestration and platform tooling such as Airflow; ability to build maintainable DAGs and operationalize workflows. Strong expertise with at least one major cloud provider (AWS, Azure, or GCP) Strong SQL skills and experience with data storage systems (such as PostgreSQL) plus at least one of: Data Lake/Lakehouse, columnar DB, or NoSQL systems. Experience with Delta Lake and/or Apache Iceberg; ML lifecycle tools such as MLflow. Experience with Pandas/Polars and building data services/APIs (e.g., FastAPI). Proven experience designing, building, and owning production-grade data pipelines (batch and/or streaming), including reliability, backfills, and SLA-driven delivery. Ability to learn new technologies and work in a dynamic fast-paced environment. Result-driven, pragmatic, and innovative. Strong English communication skills, both written and verbal. Nice to have Hands-on experience with containers and Kubernetes (Helm is a plus) and modern CI/CD practices. Experience building LLM-powered agents / chat assistants (RAG, tool/function calling, workflow or multi-agent orchestration), using modern frameworks and platforms (LangChain/LangGraph). Infrastructure as Code (Terraform/Pulumi/CloudFormation) and cloud security fundamentals (IAM, secrets, encryption). Experience with observability tooling (metrics/logging/tracing) and cost/performance optimization for distributed workloads. Experience building applications with React and Node.js. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. 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 Career Site Team: Technology

Responsibilities

The Senior Data Engineer will own end-to-end data flows, design and build scalable data pipelines, and collaborate with various teams to deliver robust solutions. They will also explore technologies to scale the data ecosystem and partner with Data Science for ML/AI integration.