Data Engineering

Data Engineer

Data Engineer at SwiftIQ


SwiftIQ is seeking a Data Engineer to join our team working in an exciting, high volume retail data
ecosystem with over $100 billion of transaction log data. The candidate will benefit from a rich
knowledge of software development practices and will need to apply those practices daily.

Mastering the relationship between client data and our ecosystem will be an important element for this position. This position plays a critical role at SwiftIQ and for both the retailer and their vendor partners to realize the most value from their data. The overarching responsibilities for this role are (i) on-boarding successfully and efficiently new clients, (ii) maintaining the data and ecosystem on an ongoing basis, and (iii) introducing & implementing improvements as needed . The successful applicant will be joining an open and diverse team with a "Can Do" attitude, and a strong desire to make an impact in a start-up organization.


Responsibilities
• Onboard new customers' data into the SwiftIQ data warehouse and platform, writing and
installing the required ETLs
• Optimize and manage existing clients’ data pipelines
• Monitor, maintain, and, if needed rectify, various clients’ data integrity
• Develop and/or enhance automated processes to proactively identify any data related issues
and/or simplify process
• Gather technical requirements from multiple sources for new data-oriented features,
integrating new solutions within a developed Java solution base
• Participate as a key member of our agile development team
• Collaborate with team members to automate queries as needed


Required
• Working and practical knowledge of programming principles, techniques, standards and
analytical ability
• Strong proficiency in Java
• Proven experience with complex SQL query design and optimization
• Experience in data cleansing, curation, parsing, integration, semantic mapping, or editing
• Experience with analytics systems (data warehouses, dimensional models, etc.)
• Organizational skills and ability to balance multiple priorities in a dynamic and fast-paced
environment
• Strong team player with a passion for data and problem solving
• Excellent oral and written communication skills


Preferred
• Strong competence in Python; Bash proficiency a plus
• Experience with Google Cloud
• Experience with Linux/Unix
• 1-3 years of applied data engineering-related experience
• Degree in Computer Science, Computer Engineering, Management Information Systems or
related field

Apply now