Senior Data Engineer
- Nielseniq India
- 7 - 10 years
- Pune
- 12 days ago
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Job Description
YOULL BUILD TECH THAT EMPOWERS GLOBAL BUSINESSES
Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow.
As a Senior Data Engineer, youll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Spark, Scala, Pyspark, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub.
WHAT YOULL DO:
- Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL as the core development technologies.
- Deploy application components using CI/CD pipelines.
- Build utilities for monitoring and automating repetitive functions.
- Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops
- Collaborate with Data Science team and productionize the ML Models.
- Participate in a rotational support schedule to provide responses to customer queries and deploy bug fixes in a timely and accurate manner
Qualifications
WERE LOOKING FOR PEOPLE WHO HAVE:
- 8-10 Years of years of applicable software engineering experience
- Strong fundamentals with experience in Bigdata technologies, Spark, Pyspark, Scala, Pandas, Databricks, Airflow, SQL,
- Must have experience in cloud technologies, preferably Microsoft Azure.
- Must have experience in performance optimization of Spark workloads.
- Good to have experience with DevOps Technologies as GIT Hub, Kubernetes, Jenkins, Docker.
- Good to have knowledge of relational databases, preferably PostgreSQL.
- 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
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Nielseniq IndiaLocation(s): Pune
Keyskills: Airflow Pyspark SCALA Azure Databricks Spark Pandas SQL
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