Vacancy expired!
- 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)
- Skills in optimizing SQL query performance.
- Understand and execute SQL queries efficiently (understands the trade-off between different types of 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.
Vacancy expired!