Sr. Expert

Nabla

Vadodara

On-site

INR 2,500,000 - 5,000,000

Full time

14 days+

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Benefits offered by this job

Flexible working environment
LinkedIn Learning
EAP

Job summary

NIQ in Vadodara is seeking a Senior Big Data Engineer to design and implement data ingestion and processing pipelines across Retail, eCommerce, Activate and Vendor sources using Databricks and Python.

Candidates should have 6+ years of experience, strong knowledge of cloud platforms (Snowflake, Azure, AWS) and a solid foundation in data structures and algorithms; excellent problem solving and communication skills are expected.

Qualifications

  • Minimum 6 years of experience in Big data technologies.
  • Expertise in Databricks and Python required.
  • Strong foundation in data structures and algorithms.
  • Experience with large datasets and cloud-native platforms (Snowflake/AWS/Azure).
  • Excellent problem solving and communication skills.

Responsibilities

  • Design standard operational solutions for cloud/non-cloud data management.
  • Explore new technologies to maximize efficiency.
  • Handle large data sets across多 formats and logs.
  • Use SQL and Python for data processing and ingestion.
  • Lead small to medium transformation projects independently.

Skills

Databricks
Python
SQL
Cloud (AWS/Azure)
Snowflake
Big data
Algorithms
Data pipelines
Java

Education

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

Tools

Spark

Job description

Job Description

This role is accountable to be able to understand various data sources e.g. Retailer, eCommerce, Activate and Vendor and link with internal NielsenIQ platform. This role requires to provide solutions to improve process quality, understand emerging technologies, standards and best practices in cross platform development. It also requires to demonstrate mastery in applying concepts, and methodologies to innovative solutions.

Job Responsibilities
  • Work closely with Architectures/Technology, Platform Leader and Clients on designing standard Operational solution for various cloud/non-cloud technologies on ways of managing data
  • Continuously discover, evaluate, and implement new technologies and frameworks to maximize efficiency
  • Handle large data sets with exposure to multiple formats and Tlog/non-Tlog data.
  • Ability to extract, transform, load, and clean large data sets from multiple sources.
  • Familiarity with managing, querying, and aggregating large data sets.
  • Execute tasks on Ingestion platform
  • Utilize SQL and Python for data processing
  • Process data in the Ingestion engine
  • Manage small to medium transformation projects independently
Qualifications
  • Minimum 6 years of experience in Big data related technologies
  • Expertise in Databricks and Python is a must
  • Strong foundational knowledge in Data Structures and Algorithms
  • Proven track record in solution design and profiling + performance optimization
  • Good experience working with large data sets with hands-on technology skills using industry standard frameworks
  • Open and quick to learn new technologies and tools
  • Experience working on cloud native technologies (Snowflake, Azure, AWS etc..) and platforms would be needed
  • Excellent problem solving, hands-on engineering skills and communication skills
  • Engineering degree in Computer Science, Information Technology or related field
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 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—delivered with advanced analytics, 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

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