Sr. Data Engineer

    • San Francisco, CA

The Creative Cloud Engagement Analytics team is looking for a passionate Data Engineer to join our growing team of analytics experts. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Tapping into our massive product usage data sets, you will architect, build and optimize analytics platform and pipelines to harness our data, derive actionable insights to help guide the business with data.

What you'll do

  • Architect, build and maintain scalable automated data pipelines ground up. Be an expert of stitching and calibrating data across various data sources.
  • Work with Adobe's data ingestion, data platform and product teams to understand and validate instrumentation and data flow.
  • Develop data set processes for data modeling, mining and production.
  • Integrate new data management technologies and software engineering tools into existing structures
  • Support regular ad-hoc data querying and analysis to better understand customer behaviors.
  • Understand, monitor, QA, translate, collaborate with business teams to ensure ongoing data quality.

What you need to succeed
  • Bachelor's degree in Computer Science, Information Systems or a related field is required, master's preferred.
  • 8+ years of experience building and maintaining big data pipelines and/or analytical or reporting systems at scale.
  • Expert level skills working with Apache Hadoop and related technology stack like Pig, Hive, Oozie etc.
  • A strong proficiency in querying, manipulating and analyzing large data sets using SQL and/or SQL-like languages.
  • Approaching data organization challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and human resources.
  • Good attention to detail and ability to stitch and QA multiple data sources. Exploring new territories and finding creative and unusual ways to solve data management problems.
  • Be a self-starter.
  • Good interpersonal skills.

Preferred (but not required) Skills:
  • Experience working with at least one other big data platform like Apache Spark, Redshift, Teradata or SAP HANA.
  • Familiarity with streaming platforms like Apache Kafka, Amazon Kinesis etc.
  • Knowledge of Data Science, Machine Learning and Statistical Models is desirable.
  • Familiarity with Microsoft SSAS and Cubes and advanced Excel skills.

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

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