Data Engineer

Global measurement and data analytics company providing comprehensive understanding of consumer behavior and market trends.
$NaN
Data
Mid-Level Software Engineer
Hybrid
2+ years of experience
Enterprise SaaS

Description For Data Engineer

Nielsen, a global leader in measurement and data analytics with nearly a century of pioneering experience, is seeking a Data Engineer to join their dynamic team. This role sits at the intersection of data innovation and practical implementation, where you'll be instrumental in building and optimizing the company's data infrastructure.

As a Data Engineer at Nielsen, you'll be working with cutting-edge technologies and massive datasets, building and optimizing data pipelines that power crucial business insights. The role requires expertise in AWS technologies, Python, SQL, and various big data tools, making it perfect for someone who's passionate about data architecture and scalable solutions.

The position offers a unique opportunity to work with a company that's been at the forefront of data analytics, measuring what the world watches and buys across over 100 countries. You'll be part of a team that transforms raw data into actionable insights, working on projects that directly impact global industry leaders and small businesses alike.

The ideal candidate will bring 2+ years of hands-on experience with AWS technologies and programming languages, along with a strong foundation in data pipeline development. You'll need to balance technical expertise with excellent communication skills, as you'll be collaborating with cross-functional teams and presenting complex ideas to diverse audiences.

Working in a hybrid environment from Bengaluru, you'll have the opportunity to work with global teams, particularly requiring overlap with US business hours. This role offers the perfect blend of technical challenge and business impact, allowing you to contribute to reshaping the landscape of data possibilities while working for a company that's been trusted by businesses worldwide for generations.

Last updated 2 months ago

Responsibilities For Data Engineer

  • Build and optimize extensive data sets, 'big data' pipelines, and architectures
  • Apply analytical skills to navigate unstructured datasets
  • Develop processes for data transformation, workload management, and metadata
  • Conduct root cause analyses on processes and data
  • Identify and implement process enhancements focusing on automation
  • Collaborate with product and technology teams
  • Establish and maintain programming standards
  • Provide support to cross-functional teams
  • Communicate complex ideas clearly to diverse audiences

Requirements For Data Engineer

Python
Java
  • 2+ years experience with AWS technologies (S3, Lambda, Glue, Athena, IAM, SQS, CloudWatch, CloudFormation)
  • Proficiency in Git, Gitlab, and Jira
  • 2+ years experience in SQL & Python
  • 1+ years experience in Apache Superset, Tableau, Spark, Hive, Java and Hadoop
  • Expertise in building data pipelines in distributed environments
  • Bachelor's or master's degree or equivalent work experience
  • Excellent communication skills and fluent English
  • Ability to work with US business hours overlap

Interested in this job?

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