Data Engineer with Python, Spark & Airflow

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

• 4+ 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 (

  Azure

  ,)
• 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

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.

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

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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