Software Engineer [Data Engineer Python, SQL, Snowflake, Cloud, Devops (CICD pipeline) AI (Co-pilot usage and prompt engineering Gen AI), Docker, Kubernetes]

We are seeking a skilled Mid-Level Data & Platform Engineer with strong expertise in Python Snowflake and SQL along with foundational knowledge of DevOps Microsoft Azure and AI/ML concepts. The ideal candidate will be responsible for designing developing and maintaining data pipelines supporting cloud-based data platforms and contributing to automation and AI-driven initiatives.

Key Responsibilities

Data Engineering

• Design develop and maintain scalable ETL/ELT pipelines using Python and SQL.
• Build and optimize data models transformations and workflows in Snowflake.
• Develop data ingestion frameworks from various structured and unstructured data sources.
• Monitor and troubleshoot data pipeline failures and performance bottlenecks.
• Ensure data quality reliability and governance standards are maintained.

Snowflake & SQL

• Develop and optimize complex SQL queries stored procedures views and tasks.
• Implement Snowflake features such as Virtual Warehouses Streams Tasks and Snowpipe.
• Perform query performance tuning and cost optimization.
• Support data warehouse administration and security best practices.

Cloud & Azure

• Work with Azure services such as:
  • Azure Data Factory (ADF)
  • Azure Storage Accounts
  • Azure Key Vault
  • Azure Functions (basic)
  • Azure Synapse (basic exposure preferred)
• Support deployment and management of cloud-native data solutions.

DevOps & Automation

• Utilize Git-based source control and branching strategies.
• Support CI/CD pipelines using Azure DevOps or GitHub Actions.
• Create deployment automation scripts and infrastructure configurations.
• Participate in release management and operational support activities.

AI & Emerging Technologies

• Understand foundational AI/ML concepts and use cases.
• Work with AI-assisted development tools (GitHub Copilot Azure AI services etc.).
• Support integration of AI-powered features into data platforms.
• Participate in proof-of-concepts involving Generative AI and data analytics.

Collaboration

• Collaborate with data engineers architects platform teams and business stakeholders.
• Participate in Agile ceremonies including sprint planning reviews and retrospectives.
• Document technical designs processes and operational runbooks.

Qualifications :

• Bachelors degree in computer science Information Technology Engineering or related field.
• 3-5 years of experience in Data Engineering Data Warehousing or Platform Engineering.
• Strong programming skills in Python.
• Strong experience with SQL development and performance tuning.
• Hands-on experience with Snowflake data warehouse.
• Basic understanding of Azure Cloud services.
• Basic knowledge of DevOps principles CI/CD and source control.
• Understanding AI/ML fundamentals and Generative AI concepts.
• Experience with Agile/Scrum methodologies.

Technical Skills

Must Have

• Python
• SQL
• Snowflake
• ETL/ELT Development
• Data Modeling
• Git
• Azure Fundamentals
• CI/CD Fundamentals

Good to Have

• Azure Data Factory
• Azure DevOps
• Terraform
• Docker (basic)
• Power BI
• Databricks
• Airflow
• REST APIs
• Generative AI & Azure OpenAI Services

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.

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 :

No

Employment Type :

Full-time