Junior Data Engineer - 1 to 3 years at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Snowflake, Cloud Services, DevSecOps, Data Quality, ETL, Data Pipelines, Orchestration, Collaboration, Problem-Solving, Curiosity, Automation, Security, Observability, MLOps

Industry

Software Development

Description

Company Description 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. Job Description Junior Data Engineer , Chennai We’re looking for a Junior Data Engineer who’s eager to build reliable, secure, and scalable data pipelines. You’ll work with Python, Snowflake, and cloud-native services to support analytics, reporting, ML workflows, and data-driven products. You’ll also adopt DevSecOps best practices—treating security, testing, and automation as first-class citizens. What You’ll Do (Key Responsibilities) Data Pipelines & ETL/ELT Develop, schedule, and monitor ELT/ETL pipelines in Python to ingest data from APIs, files, and databases into Snowflake. Implement transformations (SQL & Python) following modular, reusable patterns. Snowflake Engineering Build tables, views, stages, and secure data shares. Tune queries and warehouse configs; manage roles, RBAC, and resource usage. Cloud & Orchestration Use cloud services (AWS/GCP/Azure) for storage, compute, and event triggers (e.g., S3/Blob/GCS; Lambda/Functions). Orchestrate jobs (Airflow/Cloud Composer/Prefect/Azure Data Factory) with proper alerting & SLAs. DevSecOps & Reliability Apply CI/CD for data code (linting, unit/data tests, IaC review gates). Embed security scanning (dependencies, IaC policies), secrets management, and least‑privilege IAM. Contribute to observability (logging, metrics, lineage, data quality checks). Collaboration Work with Analytics/ML teams to productize models and enable self‑service. Write clear documentation (readme, runbooks, data dictionaries). Qualifications Must-Have 2–5 years of experience in data engineering, analytics engineering, or backend engineering (internships/co-ops included). Programming: Python (pandas, SQLAlchemy/DB APIs, typing, testing with pytest). SQL & Warehousing: Strong SQL; experience with Snowflake (warehouses, stages, tasks, Snowpipe, RBAC). Cloud Basics: Familiarity with one major cloud (AWS/Azure/GCP) and storage + compute + IAM fundamentals. DevSecOps Mindset: Git, CI/CD (GitHub Actions/Azure DevOps/GitLab CI), code reviews, secret handling, dependency scanning. Data Quality: Exposure to unit tests, data validation (e.g., Great Expectations/dbt tests), and monitoring principles. Strong problem-solving, curiosity, and ability to learn quickly. Additional Information Nice-to-Have Orchestration: Airflow/Prefect/ADF/Composer. IaC: Terraform/Azure Bicep/CloudFormation; policy-as-code (e.g., OPA/Conftest). Streaming: Kafka/Kinesis/PubSub; Change Data Capture. dbt (models, tests, exposures) and semantic layer concepts. Basic SCD/CDC design patterns; Dimensional modeling (Kimball). Security: OWASP, least privilege, key rotation, secret stores (AWS Secrets Manager/Azure Key Vault). Observability: OpenLineage, DataDog/CloudWatch/Log Analytics; SLA/SLO thinking. Exposure to MLOps (feature stores, model serving) is a plus 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

Responsibilities

The Junior Data Engineer will develop, schedule, and monitor ELT/ETL pipelines in Python and build tables and views in Snowflake. They will also apply DevSecOps best practices and collaborate with Analytics/ML teams.