Data Engineer With Experience To Python Airflow Databricks And SQL

NIQ for Digital Commerce; Chennai District; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NIQ is seeking a Software Engineer, Chennai to build data solutions for a growing customer base, using top data ingestion technologies and a diverse team. You will own end-to-end data flows and collaborate with Data Science to productionize ML workloads.

Requirements include 3+ years in backend/data engineering, strong Python and SQL skills, and experience with Spark/Databricks, Kafka, and cloud platforms such as Azure. Chennai-based role with modern data stack exposure.

Qualifications

• 3+ years of backend/data engineering experience in production environments.
• B.Sc./M.Sc. in Computer Science, Computer Engineering, or equivalent.
• Proficiency in Python; working proficiency in Scala.
• Strong experience with Spark, Databricks and Kafka for large-scale data processing.
• Experience with orchestration and tools such as Airflow; building maintainable DAGs.
• Strong expertise with at least one cloud provider (Azure).
• Strong SQL skills and data storage systems (e.g., PostgreSQL) plus Data Lake/Lakehouse/NoSQL.
• Experience with Delta Lake and/or Apache Iceberg; MLflow.
• Experience with Pandas/Polars and building data services/APIs (e.g., FastAPI).
• Proven experience designing, building, and owning production-grade data pipelines with reliability and SLA delivery.
• Ability to learn new technologies and work in a dynamic fast-paced environment.
• Strong English communication skills.

Responsibilities

• Own end-to-end data flows from requirements through production operations.
• Design and build scalable batch and real-time data pipelines and lakehouse solutions.
• Take responsibility to explore technologies to scale up the Data ecosystem for 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.
• Evaluate and adopt new technologies and patterns to evolve the data ecosystem as scale and complexity grow.

Skills

Python

Scala

Big Data processing

Spark

Databricks

Kafka

Airflow

SQL

PostgreSQL

Data Lake / Lakehouse

Delta Lake

Apache Iceberg

MLflow

Pandas/Polars

FastAPI

Azure

English communication

Docker/Kubernetes

Education

B.Sc./M.Sc. in Computer Science/Engineering or equivalent

Tools

Airflow

Job description

Job Description:

Job Description

Software Engineer, Chennai

As a Data Engineer, you will beresponsible 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

• 3+ 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

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://nielseniq.com/global/en/info/niqs-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 year 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