Data Engineer - #956969

Nielsen


Date: 1 week ago
City: Mumbai, Maharashtra
Contract type: Full time
At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

ABOUT THIS JOBWe're looking for a Data Engineer to join our Campaign Analytics team. The Campaign Analytics suite of products utilize survey based datasets to measure, analyze, and report on Advertisement effectiveness.
As a Data Engineer, you will work alongside data scientists and engineers, to build a data platform on AWS to ingest data from external sources and perform ETL tasks. The role requires you to have experience working with large datasets with complex schemas, a can-do approach towards automation, with an emphasis on the implementation of best practice cloud security culture is inclusive and we have a healthy work life you're passionate about problem solving, enjoy continuous learning, like building new things we want to hear from you!

Responsibilities

    • Collaborate with product owners to understand requirements and design new
    • in cross-functional teams to implement, test and deploy
    • code
    • and maintain development environments and CI/CD workflows.

Preferred Qualifications

    • BS or MS in Computer Science.3+ years with mainstream programming languages (Python, C++, C, Java, etc.).
    • Strong knowledge of programming concepts and
    • understanding of data lakes / data warehousing.
    • Experience with SQL and relational database
    • writing automated
    • communication
    • working in Cloud
    • working in an agile
    • with popular AWS services (S3, RDS, EC2, etc.).
    • Experience with popular developer tools (Git, Docker, Github/Gitlab).
    • Familiarity with orchestration tools such as Apache
    • with big data processing tools such as Spark, EMR, Presto.

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