Data Engineer (Python, AWS, Spark (Java, Scala, PySpark), Airflow, GitLab, at NielsenIQ

Pune City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Jan, 26

Salary

0.0

Posted On

13 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, Spark, Airflow, GitLab, Atlassian Suite, SQL, CI/CD, Terraform, Agile Software Development, Data Pipelines, Data Management, Data Reliability, Data Quality, Data Exchange Formats, Data Consumers

Industry

Software Development

Description

Job Description As Data Engineer you will have following key accountabilities: Develop, test and deploy big data applications. Ensure that all development work in data pipelines follows best practices for ensuring validity, efficiency and maintainability. Collaborate in a distributed, cross-functional agile team to reach shared goals. Take ownership of technical implementations and architecture together with your team and in alignment with communities of practices. Communicate with data producers to align on data exchange formats and interfaces. Communicate with data consumers and other stakeholders in order to help them fulfill their needs to drive the business. Provide suggestions to business in the Media Measurement context on how existing and new data sources can be utilized to enhance our existing product portfolio. Recommend different ways to constantly improve data reliability and quality. Main Technologies You Will Be Using With Us: Python AWS Spark (Java, Scala, PySpark) Airflow GitLab Atlassian suite Qualifications You have a Bachelor’s degree in computer science, software/computer engineering or applied mathematics. You have at least 4+ years of working experience as a Data Engineer. You are curious about finding new and unusual ways of how to solve data management issues. You already have experience with AWS cloud provider. You know solid hands-on experience with Python. You have experience with Java or Scala. You know how to develop data-intensive applications using Spark. Your work involves writing SQL queries to wrangle raw data from relational databases. You know how to orchestrate data pipelines with Airflow or any other similar data scheduling and orchestration tool. You have experience with CI/CD ideally also with IaC using Terraform. You follow best practices in software engineering like pair programming, testing, clean code, agile software development frameworks. You are able to give and take open constructive feedback. Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. Recharge and revitalize with help of wellness plans made for you and your family. Plan your future with financial wellness tools. Stay relevant and upskill yourself with career development opportunities. Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) 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

As a Data Engineer, you will develop, test, and deploy big data applications while ensuring best practices for data pipelines. You will collaborate with a cross-functional agile team and communicate with data producers and consumers to fulfill business needs.