Job Details

Lead Data Engineer
San Francisco
CA, United States
Job ID
Job Description

Lead Data Engineer- Hulu

Location: San Francisco

P006857 (IC4)

What You'll Do

        Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data.

        Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments

        Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions

        Help define technical requirements and implementation details for the underlying data warehouse and data marts

        Maintain detailed documentation of your work and changes to support data quality and data governance

        Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers

        Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

What To Bring

        6+ years of data engineering experience developing large data systems

        You are a problem solver with strong attention to detail and excellent analytical and communication skills

        Proven experience with at least one major RDBMS (SQL Server, MySQL or Oracle)

        Experience with distributed systems such as Spark, Hadoop (or similar) Ecosystem (MapReduce, Yarn, HDFS, Hive, Presto, Pig, HBase)

        Solid experience with data integration toolsets and writing and maintaining ETL jobs

        Strong SQL skills and ability to create queries to extract and build tables

        Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

        Good Scripting skills, including Bash scripting and Python

        Familiarity with Amazon s3 and/or ETL using databricks

        Familiarity with workflow management tools, like Airflow

        You have experience with Scrum and Agile methodologies

        Hands-on experience with Hadoop implementations including a deep understanding of Hive or Spark to query and process data in Hadoop

        Bachelor’s or Master’s Degree in Computer Science, Information Systems or related field

Aleron companies (Broadleaf Results and TalentRISE) are Equal Employment Opportunity and Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

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