Data Engineer

Description

Working with other members of the team, translate business requirements into data access plan
Analyze and organize raw data in various tabular and semi-structured formats
Design and build data processing pipelines to meet business requirements
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Assembling large, complex sets of data that meet non-functional and functional business requirements
Participate in the design and implementation of infrastructure that supports data system needs
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Qualifications
BS/BA in technical field, Computer Science, Mathematics or relevant work experience and/or training
15 + Years of experience.
Strong SQL development skills
SQL query writing
Performance tuning
Understanding of data warehousing design concepts and data modeling
Experience applying OOP concepts to data applications
Experience programming in Python
Experience with distributed data processing tools such as Apache Spark
Experience in data analysis
Experience with visualization tools (e.g. Power BI, Qlik, Tableau)
Experience with API development is a plus
Excellent verbal and written communication skills
A keen attention to detail
A collaborative mindset
Ability to learn as you go

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