Data Engineer - (Spark, Scala, Python, Cassandra, Elasticsearch, AWS, Airflow, SQL)

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. 

Responsibilities

Work closely with team leads and backend developers to design and develop functional, robust pipelines to support internal and customer needs

Write both unit and integration tests, and develop automation tools for daily tasks

Develop high quality, well documented, and efficient code 

Manage and optimize scalable pipelines in the cloud

Optimize internal and external applications for performance and scalability

Develop automated tests to ensure business needs are met, and write unit, integration, or data quality tests

Communicate regularly with stakeholders, project managers, quality assurance teams, and other developers regarding progress on long-term technology roadmap

Recommend systems solutions by comparing advantages and disadvantages of custom development and purchased alternatives

Key Skills

Domain Expertise

2+ years of experience as a software/data engineer 

Bachelor’s degree in Computer Science, MIS, or Engineering

Technical Skills

Experience in software development using programming languages & tools/services: Java or Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive, Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow, Cassandra & Elasticsearch.

Experience in big data processing tools/languages using Apache Spark Scala.

Experience with orchestration tools: Apache Airflow or similar tools.

Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML.

Agile scrum experience in application development is required. 

Strong knowledge in AWS S3, PostgreSQL or MySQL.

Strong knowledge in AWS Compute: EC2, EMR, AWS Lambda.

Strong knowledge in Gitlab /Bitbucket .

AWS Certification is a plus

"Big data" systems and analysis

Experience with data warehouses or data lakes

Mindset and attributes

Strong communication skills with ability to communicate complex technical concepts and align organization on decisions

Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply

Utilizes team collaboration to create innovative solutions efficiently