Hearst Magazines · 5 days ago
Data Engineer
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Media and EntertainmentPublishing
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Responsibilities
Work with GCP data products including BigQuery, Pub/Sub, Cloud Composer, Dataflow, Dataproc, Dataprep, Data Studio, Bigtable, Cloud Storage, etc.
Implement different types of storage (filesystem, relational, NoSQL) and work with various kinds of data (structured, unstructured, metrics, log files, etc.)
Implement new and support existing data pipelines (ETL, ELT) and data wrangling procedures using Python and SQL.
Tune application and query performance using performance profiling tools and SQL
Research, analyze, and recommend technical approaches for solving difficult and challenging development and integration problems.
Work with graph databases like Neptune, and Neo4j.
Potentially work in AWS cloud services including RDS, Glue, Redshift, DynamoDB, Kinesis, etc.
Qualification
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Required
3+ years experience as a senior data engineer and experienced in the Google data services stack
Experienced working with diverse and large datasets (data modeling & warehousing)
Apply software engineering best practices to the data engineering process
Desire to learn and continuously improve
Experience with batch and stream data processing
Familiarity with agile software development practices and the drive to ship quickly
Familiarity with digital advertising data and associated technology
Experience building and working with identity graphs
Company
Hearst Magazines
Hearst Magazines is a Media Production house.
Funding
Current Stage
Late StageLeadership Team
Recent News
Media Post
2022-03-23
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