Senior Data Engineer
Allied SolutionsAbout the role
Job Duties and Responsibilities
Creates detailed documentation of data warehouse, data stores, and end-to-end data flows
Troubleshoots and corrects data and data processing errors in existing solutions
Works with other technical teams as well as with internal and external users to develop technical designs
Develops and continually refines the BI-focused data architecture
Works closely with the Data Intelligence department to understand the data and reporting requirements from internal and external customers and the steps to take on the back-end data side to achieve the expected results
Conducts gap analysis on source system databases against Allied’s enterprise data warehouse in support of Business Intelligence efforts
Develops and maintains data sets and standardizes data collection and processing methodologies
Provides technical advice and weighs in on technical decisions that impact cross-functional teams
Attends and contributes to architecture meetings to determine project scope, time frame, and cost estimates
Works on plan and technical architecture to extract, integrate, and/or push data to or from third-party providers
Provides enterprise data solutions for Allied, including ETL maintenance, warehouse data models, periodic upgrades, security, governance, and performance optimization
Understands the data warehouse and data mart models as well as being familiar with the business information contained in each
Locates and defines new process improvement opportunities or alternative technologies that will enhance speed to business value delivery with our data
Collaborates with developers and subject matter experts to establish the technical vision and analyze tradeoffs between usability and performance needs
Mentors other ETL Developers and Data Engineers
Qualifications (Education, Experience, Certifications & KSA)
Bachelor’s Degree required, or equivalent education/work experience
5+ years of experience with data warehousing, databases (MS SQL Server, Snowflake), and dimensional modeling
5+ years of experience in end-to-end data analysis and development
3-5 years of experience in AWS cloud services (AWS Glue, Lambda, S3, etc.)
3-5 years of experience with Snowflake (Snowpipe, Snowpark, Streamlit, Streams/Tasks) (preferred)
Extensive Experience with SQL required
Experience with R or Python (preferred)
Experience with Git and CI/CD (preferred)
Strong attention to detail
Familiarity with Object Oriented Analysis, Project Management, Business Analysis Methodology, and the SDLC
Ability to collaborate effectively and work as part of a team
Customer-oriented, with a desire to resolve problems to the customer's satisfaction while maintaining focus on productivity, efficiency, and quality
Effective communicator to clients, management, and project partners
Experience with cloud-based technologies and services (SaaS, PaaS, IaaS) (preferred)
Experience with Master Data Management (preferred)
Strong analytical and product management skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life
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