Engineer (Data Engineer)
Pune, India
Applications have closed
NielsenIQ
We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.Job Description
Engineer
Pune, India
REF23934W
As an Engineer, you will collaborate with other Engineers, Development teams, Product Owners & Scrum master's to realize critical business goals and be part of a team of smart, highly skilled technologists who are passionate about learning, data mining and prototyping cutting-edge technologies. Right now, our platform is based in Python, R, Elastic search, Kafka, NiFi, Mongo, Postgres and Snowflake. Our team is co-located and agile, with central technology hubs in Europe, Canada, and India.
Responsibilities:
- 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.
- 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
- 3+ years of applicable data engineering experience, including Spark & Restful API
- 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, Messaging Frameworks (Kafka)
- Experience in Azure or any cloud computing
- 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.S. degree in Computer Science, Computer Engineering or related field
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.
About NIQ
NIQ, the world’s leading consumer intelligence company, reveals new pathways to growth for retailers and consumer goods manufacturers. With operations in more than 100 countries, NIQ delivers the most complete and clear understanding of consumer buying behavior through an advanced business intelligence platform with integrated predictive analytics. NIQ delivers the Full View.
NIQ was founded in 1923 and is an Advent International portfolio company. 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
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/
NIQ or any of our subsidiaries will never ask you for money at any point of the recruitment or onboarding process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Azure Big Data Business Intelligence Computer Science Databricks Data Mining Engineering Kafka Kubernetes NiFi Open Source PostgreSQL Prototyping Python R RDBMS Scrum Snowflake Spark SQL
Perks/benefits: Career development Wellness
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