Senior Software Engineer (Python, Pyspark, Databricks, AWS, SQL)

NielsenIQ

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profile Job Location:

Pune - India

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

Engineers in this role build and operate scalable data pipelines on an AWSbased data platform working closely with data science teams to productionise models. They support multiregion operations troubleshoot production issues and act as a technical bridge between data science engineering and regional operations teams.

  • Strong experience in data engineering designing and operating largescale data pipelines in cloud environments
  • Handson experience with an AWSbased data platform including services such as S3 Glue Spark EMR/Lambda and Airflow
  • Proficiency in Python for data processing orchestration and automation in production systems
  • Solid understanding of data science and modelling concepts enabling effective collaboration with data scientists and support for model development and deployment
  • Experience productionising data science models including upstream data preparation and downstream integration
  • Working knowledge of data ingestion and transfer patterns including batch filebased APIbased and streaming approaches
  • Experience with data warehousing and analytical data stores including schema design ETL/ELT patterns and performance optimisation
  • Strong diagnostic and troubleshooting skills across data pipelines models and downstream production impacts
  • Experience supporting production data systems including monitoring incident resolution and continuous operational improvement
  • Ability to learn adopt and contribute to an inhouse data science framework (InMedia) following defined standards and best practices
  • Proven ability to work effectively across multiple regions and time zones
  • Clear and professional communication skills translating complex technical issues into actionable insights for engineering data science and operations stakeholders

Qualifications :

  • 6-9 years of handson experience in data engineering with a proven track record of designing building and operating largescale cloudbased data pipelines.
  • Deep expertise in AWSbased data platforms including:
    • S3 Glue EMR Lambda Spark and orchestration tools such as Airflow.
  • Strong proficiency in Python focusing on:
    • Data processing
    • Workflow orchestration
    • Automation in productiongrade systems
  • Solid understanding of distributed data processing data optimisation and scalable ETL/ELT patterns.

Data Science & Model Productionisation

  • Strong exposure to data science workflows enabling effective collaboration with data scientists throughout the model development lifecycle.
  • Proven experience productionising machinelearning models:
    • Upstream: Feature engineering input data preparation data validation
    • Downstream: Realtime/batch model integration scoring pipelines postprocessing
  • Handson experience supporting model deployment monitoring and troubleshooting modelrelated production issues.

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 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

Engineers in this role build and operate scalable data pipelines on an AWSbased data platform working closely with data science teams to productionise models. They support multiregion operations troubleshoot production issues and act as a technical bridge between data science engineering and regiona...
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About Company

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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 holi ... View more

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