Data Engineer at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Bigdata, Python, Pyspark, SQL, Hive, Airflow, Data Mining, Data Processing, Algorithms, Big Data, RDBMS, Azure, Docker, Agile, DevOps, Kubernetes

Industry

Software Development

Description

Job Description Write complex algorithms to get an optimal solution for real time problems Qualitative analysis and data mining to extract data, discover hidden patterns, and develop predictive models based on findings Developing processes to extract, transform and load data Use distributed computing to validate and process large volumes of data to deliver insights Evaluate technologies we can leverage, including open-source frameworks, libraries, and tools Interface with product and other engineering teams on a regular cadence Qualifications Qualifications We’re looking for people who have: 2-3 years of applicable data engineering experience Strong fundamentals with experience in Bigdata, Python, Pyspark, SQL, Hive, Airflow Strong fundamentals in data mining & data processing methodologies Strong knowledge of data structures, algorithms and designing for performance, scalability and availability Sound understanding of Big Data & RDBMS technologies, such as SQL, Hive, Spark, Databricks, Snowflake or Postgresql. Orchestration and messaging frameworks: Airflow Good experience working with Azure cloud platform. Good experience working in containerization framework, Docker is a plus. Experience in agile software development practices and DevOps is a plus Knowledge of and Experience with Kubernetes is a plus Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Minimum B.E. degree in Computer Science, Computer Engineering 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://www.nielseniq.com/global/en/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—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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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

Responsibilities

The Data Engineer will write complex algorithms to solve real-time problems and develop processes for data extraction, transformation, and loading. They will also use distributed computing to process large volumes of data and deliver insights.