Senior Manager, Data Engineering

Key Skills

Aartificial intelligence, Analytical and Problem solving, Apache Airflow, AWS, ETL frameworks, Python Programming, SQL

Job Description

The Data Engineering data team owns and drives the foundational data platform for measurement and reporting systems. The team is custodian of all of the business data and metrics, and the guarantor of their fidelity and completeness. The team charter is to provide interfaces and guidance for all aspects of Wish data.

You will need a team that will own the data foundation and governance of Wish by building scalable data pipelines. A successful person in this role will own major components of the data landscape, drive alignment with other teams, guide architecture and design within the team and influence it outside.

What you'll be doing:

• Your team will work closely with partners throughout the company, understand their needs and provide key datasets and insights to guide their roadmaps
• You'll drive the vision and roadmap of Data Engineering to speed up Wish’s data-driven decision making process
• You will define and manage SLA's for all data sets and processes running in production.
• You'll design and build trusted, reliable and timely datasets, metrics and ETL pipelines that are critical to the health and direction of the company
• You'll help develop and advocate for data democratization, self-serve services and tools, roadmap and prioritization process, and more
• You’ll mentor and guide the professional and technical development of your team members.

Qualifications

• Bachelor's Degree in Computer Science or a related field.
• 8+ years of experience in software development, ideally focusing on big data processing and distributed systems.
• 2+ years of experience as a technical lead or a manager
• Proficient in Python, Airflow and SQL.
• Knowledge of the big data ecosystem, e.g. Hive, MapReduce, Presto, etc. and internals.
• Track record of delivering high-impact products in broadly defined subject domains.
• Excellent written and oral communication skills, ability to present to both technical and non-technical audiences

Preferred Qualifications:

• Familiarity with public cloud technologies in Amazon Web Services, Databricks
• Experience with ETL pipelines
• Familiarity with workflow management systems like airflow
• Exposure to machine learning and data science

Additional Information

Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.

Individuals applying for positions at Wish, including California residents, can see our privacy policy here.