Senior Software Engineer - Python & Snowflake

NielsenIQ; Chennai; Presencial; INR 2 600 000 - 4 500 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible work

Volunteer time off

LinkedIn Learning

EAP

Resumo da oferta

NielsenIQ is seeking a Senior Engineer to join our Data Engineering & Validation platform in Chennai. You will design, build, and optimize scalable ELT/ETL pipelines using Python/SQL and manage Snowflake environments for large-scale data workloads.

You will collaborate with cross-functional teams on cloud-native solutions (Azure/AWS/GCP), implement CI/CD and IaC, and contribute to data quality, lineage, and governance while mentoring junior engineers.

Qualificações

• 6–10 years of professional experience in Data Engineering.
• Strong expertise in Python and SQL, with Pandas, asyncio, and typing.
• Hands-on Snowflake at enterprise scale and cloud platforms (AWS/Azure/GCP).
• Experience with CI/CD, IaC (Terraform/Bicep), and data testing tools.
• Knowledge of data warehousing concepts, CDC/SCD, and schema evolution.

Responsabilidades

• Design, develop, and optimize scalable ELT/ETL pipelines using Python and SQL.
• Build real-time, near-real-time, and batch data frameworks on cloud services.
• Architect and manage Snowflake environments and data workflows.
• Implement CI/CD pipelines and DevSecOps practices for data code.
• Collaborate with Product, Data Science, and Business teams to deliver data products.
• Lead design reviews and mentor junior engineers.

Conhecimentos

Python

SQL

Snowflake

Azure

ETL

Airflow

dbt

CI/CD

Terraform

Formação académica

B.E./B.Tech in CS/IT

Ferramentas

Snowflake

Azure

GitHub Actions

ADF

Terraform

Descrição da oferta de emprego

Company Description

NielsenIQ (NIQ) is a leader in data-driven solutions, partnering with the world’s largest brands to deliver insights that drive strategic decisions. With a global presence and deep expertise in analytics and technology, we ensure that companies stay ahead in a constantly changing marketplace. Our mission extends beyond understanding consumer behaviour; it also includes refining and optimizing our internal systems that support the NIQ company operations worldwide.

Job Description

Our Technology teams are working on our new validation platform. Our clients around the world rely on data and insights to innovate and grow. As a Senior Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables, components: Azure: Blob Storage, ADLS, Functions, ADF, Purview Roles and Responsibilities Data Engineering & Pipelines Design, develop, and optimize scalable ELT/ETL pipelines using Python and SQL. Build real-time, near-real-time, and batch frameworks using cloud-native services. Implement incremental loads, CDC, SCD, schema evolution, and orchestration best practices.

Snowflake Engineering Architect and manage Snowflake environments: warehouses, databases, schemas, resource monitors, RBAC, zero-copy clones, clusters, micro partition. Implement Snowflake Tasks, Streams, Pipes (Snowpipe), External Tables for event-driven data workflows. Optimize compute cost and query performance using clustering, micro-partitioning, caching, and warehouse sizing.

Cloud Engineering - Azure Build and maintain solutions using cloud-native compute/storage components: Azure: Blob Storage, ADLS, Functions, ADF, Purview Data Warehousing & Modeling Design enterprise-grade Data Warehouses, Data Marts, and Semantic Layers. Implement Kimball, Data Vault, and modern ELT-first design patterns. Work closely with BI/ML teams to operationalize features and analytics models.

AI engineering Design, develop, and deploy AI and Generative AI solutions aligned with business requirements.

DevSecOps & Platform Engineering Implement CI/CD pipelines for data engineering code (GitHub Actions / Azure DevOps / GitLab CI). Enforce DevSecOps practices: secret scanning IaC security gates dependency scanning policy-as-code (OPA/Conftest) Build infrastructure using Terraform / Azure Bicep / CloudFormation. Automated Testing & Data Quality Implement data unit testing, schema validation, and contract enforcement: pytest Great Expectations/dbt tests automated data profiling Build automated quality dashboards, lineage, and SLA monitoring.

Leadership & Collaboration Lead design reviews, code reviews, and data platform roadmap discussions. Mentor junior engineers and enforce engineering excellence. Partner with Product, Data Science, and Business teams to deliver data-driven solutions.

Additional Information

6–10 years of professional experience in Data Engineering. Strong expertise in Python (pandas, asyncio, OOP, typing, packaging, pytest). Hands‑on experience with Snowflake at enterprise scale. Advanced SQL skills—optimizing complex joins, window functions, CTEs, and performance tuning. Strong cloud background: AWS, Azure, or GCP. Deep understanding of data warehousing concepts: dimensional modeling, star schemas, data marts, CDC/SCD, modeling for high-volume pipelines CI/CD experience with GitHub Actions/Azure DevOps/GitLab CI. Experience with IaC tools like Terraform/Bicep. Strong understanding of DevSecOps practices: secrets management, IAM design, vulnerability scanning, zero trust principles Experience with orchestration tools (Airflow/ADF/Prefect/Step Functions). Excellent communication and stakeholder management skills. Experience with dbt (models, tests, exposures). Streaming platform experience (Kafka, Kinesis, Pub/Sub). Experience implementing OpenLineage, Marquez, or other lineage tools. Familiarity with Lakehouse architectures (Delta Lake, Iceberg, Hudi). Understanding of MLOps concepts and feature stores. Knowledge of cost governance and FinOps best practices. Prior leadership/mentorship experience.

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-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

Experience Level

Senior Level