Junior Data Engineer 1 to 3 years

Junior Data Engineer Chennai

Were looking for a Junior Data Engineer whos eager to build reliable secure and scalable data pipelines. Youll work with Python Snowflake and cloud-native services to support analytics reporting ML workflows and data-driven products. Youll also adopt DevSecOps best practicestreating security testing and automation as first-class citizens. 

What Youll 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 leastprivilege IAM. 
• Contribute to observability (logging metrics lineage data quality checks). 

Collaboration  

• Work with Analytics/ML teams to productize models and enable selfservice. 
• Write clear documentation (readme runbooks data dictionaries). 

Qualifications :

Must-Have 

• 25 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. 

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 

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
• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Great compensation and bonus scheme linked to individual performance and company results.
• Flexible working hours and home office.

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time