Senior Data Engineer

San Francisco, CA, US • Posted 60+ days ago • Updated 9 hours ago
Full Time
On-site
USD $202,000.00 - 224,000.00 per year
Fitment

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Job Details

Skills

  • System Implementation
  • FOCUS
  • Data Engineering
  • Roadmaps
  • SQL
  • Data Modeling
  • Apache Hadoop
  • HDFS
  • Apache Hive
  • Apache Oozie
  • MapReduce
  • Apache Spark
  • Programming Languages
  • Python
  • Java
  • Scala
  • Extract
  • Transform
  • Load
  • Business Intelligence
  • OLAP
  • IBM Cognos TM1
  • Hyperion
  • Agile
  • Data Warehouse
  • Mentorship
  • Law
  • Legal
  • Collaboration

Summary

About the Role

We are seeking a strong and passionate data engineer with experience in large scale system implementation, with a focus on complex data pipelines. The candidate must be able to design and drive large projects from inception to production. The right person will work with stakeholders, analysts, scientists to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, team player, and a technical powerhouse.

What the Candidate Will Do

Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward.

Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets.

Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs.

Basic Qualifications

- Strong SQL skills
- Strong in Data Warehousing and Data Modelling concepts
- Hands on experience in Hadoop tech stack:
- HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
- Programming languages - Python, Java, Scala etc.
- Experience in building ETL Data Pipelines
- Performance Troubleshooting and Tuning

Preferred Qualifications

- Experience with DW (Data Warehouse) or BI (Business Intelligence) or OLAP tools like Anaplan, TM1, Hyperion etc.
- Experience building high-quality end-to-end data solutions in an agile environment from requirements to production.
- Strong in Data Warehousing concepts
- Should be self-motivated and passionate about bringing efficiency into the system through optimizations.
- Should be able to raise the bar for other engineers by proposing and driving innovative ideas.
- Experience in mentoring junior team members technically.
- If need be, Act as a Leader to drive big efforts in collaboration with other engineers or team members.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90958168
  • Position Id: ae448ad746f759dc5cc527feb4e48641
  • Posted 30+ days ago
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