The team needs Data Engineer having strong in SQL and have great experience in building data frameworks.
- 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
Technologies stack in use: Dataswarm (data pipeline framework in Python), Hive, Presto, Python, Scuba (in-memory database), SQL, Oracle, Tableau