Data Engineer to work on a significant data pipeline and data warehouse that supports analytics, consumer marketing, data science, and data products across Hearst Magazines and CDS Global’s Resin platform.

As a Data Engineer, you will develop data pipelines and a consumer marketing database that will be used across Hearst. You will leverage a modern data stack, with a particular focus across Amazon Web Services (AWS), Pentaho, Apache Airflow, and Looker, powering a variety of ETL and reverse ETL processes, customer segmentation and activation, and insights. And you will have the opportunity to play a critical part in the digital transformation of a world-leading media company.

You will:

• Work with an established data engineering team within an Agile/SCRUM development environment.

• Architect, write code, and perform testing and debugging of Hearst and CDS Global’s data infrastructure.

• Help build out the new Data Lake and ETL infrastructure, and migrate from the existing setup to the new..

• Build data APIs and data delivery services that support critical operational and analytical applications for our business operations, customers and partners.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Leverage the resources of a successful, well-known business combined with the nimbleness and forward-looking feel of a startup.

You have:

Experience with cloud data infrastructure and data orchestration tools, in particular AWS, Pentaho, Postgres and MySQL, and Apache Airflow.

• Deep understanding in Data warehousing space and AWS data services like RDS, Redshift, S3, MWAA, Athena and Glue.

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

• Expert knowledge Pentaho and other modern AWS ETL tools.

• Experience in managing and migrating databases in the range of multiple terabytes.

• Deep knowledge in Airflow.

• Strong fluency with Python and SQL, and experience working with relational databases, query authoring, as well as familiarity with a variety of databases.

• Hands-on expertise with SQL and SQL analytics.

• Experience working with code repositories like github.

• Strong analytical skills related to working with unstructured datasets.

• Experience supporting and working with cross-functional teams in a dynamic environment.

• Experience in Big data technologies like Apache Spark is a huge plus.

• 5+ years of experience in a Data Engineer role, with B.S./M.S. in Computer Science or a related field, or equivalent experience.

• Experience working with offshore teams - coordinating/managing offshore resources.

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