Data Engineer (MId) at Nielsen

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AnalyticsIndustries

Requirements

Several years (e.g. 2–5) of professional experience in data engineering or a related role (ETL, data pipelines, data infrastructure)
Strong proficiency with data orchestration tools such as Apache Airflow (or similar)
Experience with cloud-based data platforms and warehouses, especially Google BigQuery and/or Databricks
Excellent SQL skills, and comfortable writing complex queries for large datasets
Solid programming skills (e.g. Python) for data processing and transformation
Experience working with cloud infrastructure — ideally both on Amazon Web Services (AWS) and Google Cloud Platform (GCP), or willingness and ability to learn them
Strong understanding of software engineering practices: version control (e.g. Git), modular code, configuration management, CI/CD for data workloads
Strong problem-solving skills, attention to detail, and ability to handle large, complex datasets with performance, scalability and data quality in mind

Responsibilities

Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load data from multiple sources
Orchestrate and schedule workflows using tools such as Apache Airflow ensuring correct dependencies, retries, alerting, monitoring, and performance
Build and maintain data storage solutions, data warehouses and/or data lakes, ensuring data is properly modelled, organized and accessible for analytics and ML use cases
Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver clean, high-quality data in usable formats
Implement data validation, monitoring, and quality controls to guarantee data integrity, consistency and reliability
Contribute to productionizing machine learning pipelines — from raw data ingestion through feature engineering, training data preparation, and integration with ML workflows
Follow and promote CI/CD best practices for data code and infrastructure (version control, automated tests, deployments, infrastructure as code, etc.)

Skills

Key technologies and capabilities for this role

ETLELTApache AirflowData PipelinesData WarehousesData LakesCI/CDInfrastructure as CodeMachine Learning PipelinesFeature EngineeringData ValidationCloud Platforms

Questions & Answers

Common questions about this position

Is this Data Engineer role remote or on-site?

The position is on-site.

What experience level is required for this Data Engineer position?

Several years (e.g. 2–5) of professional experience in data engineering or a related role is required.

What key technical skills are needed for this role?

Strong proficiency with Apache Airflow, experience with Google BigQuery and/or Databricks, excellent SQL skills, and solid Python programming skills are required.

What cloud platforms should candidates have experience with?

Experience with Amazon Web Services (AWS) and Google Cloud Platform (GCP) is ideal, or willingness to learn them.

What makes a strong candidate for this Data Engineer role?

Candidates with 2-5 years of data engineering experience, proficiency in Airflow, BigQuery/Databricks, SQL, Python, cloud infrastructure, and strong software engineering practices like Git and CI/CD will stand out.

Nielsen

Global measurement and data analytics provider

About Nielsen

Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.

Town of Clarkstown, New YorkHeadquarters

1963Year Founded

$45.1MTotal Funding

ACQUISITIONCompany Stage

Data & Analytics, ConsultingIndustries

10,001+Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

Competition from digital-native analytics firms threatens Nielsen's market share.

Privacy regulations may impact Nielsen's data collection capabilities.

Private equity acquisition could lead to strategic shifts misaligned with client needs.

Differentiation

Nielsen offers comprehensive cross-platform measurement solutions, including mobile media markets.

The Diverse Media Equity program elevates diverse-owned media companies' visibility.

Nielsen Impact Score evaluates marketing value of university athletic programs.

Upsides

Acquisition of Telephia enhances Nielsen's mobile media measurement capabilities.

Partnerships with P&G and NMSDC support diverse media representation.

Collaboration with TikTok improves digital audience measurement services.

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