Vacancy caducado!
Title: Senior Data Engineer Location: Menlo Park, CA Duration: Long term contract Essentials for the role
- Experience with dataswarm or airflow or similar job scheduling tool
- Python coding skills for data movement and data manipulation (not app development)
- SQL skill areas: table partitioning, bucketing, Hive, HQL, windowing functions, aggregates, ranking, table joins, self-joins, subqueries, data modelling, User defined functions (UDF) and Common Table Expressions (CTE)
- Some awareness of presto - its features, why use presto
- Skills in optimizing SQL query performance
- Knowledge of Tableau is a big plus
- Understand and execute SQL queries efficiently (understands the tradeoff between different types query)
- Ability to ask the right questions; very good communication skills
- Good problem-solving skills (ability to think through problems and walk through the with the stakeholders)
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements,
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources,
- Work with stakeholders including Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs,
- Experience building and optimizing data pipelines, architectures and data sets,
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Experience in creating reports and dashboards in Tableau
- SQL (Adv to Expert level); Mid-level Python programming and Tableau required
Vacancy caducado!