Summary
As a Data Engineer(ADF/ETL) at Gainwell, you’ll help design, develop data and integrate solutions that elevates internal enterprise systems efficiency, performance, and value. You will be a key part of our team, recognizing, subscribing, and applying best practices, methodologies, tools, and techniques to meet the product owner’s requirements, timelines, and budgets. You’ll work closely with the product owner to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide best practices in data warehousing, data processing, and data management design.
Your role in our mission
Essential Job Functions
Create and maintain optimal data pipeline architectures
Create data integrations between source and destination systems
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Assemble large, complex data sets that meet functional / non-functional business requirements
Design and build effective and scalable Business Intelligence solutions including Operational Reports, Data Visualizations, Dashboards, Reporting Data Marts and ETL/Data Integration solutions
Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model
Identify, design, and implement process improvements for our product owners: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using MS SQL, and Azure technologies
Work with product owners and project teams to assist with data-related technical issues and support their data infrastructure needs
Basic Qualifications
Bachelor’s degree in information systems, computer science or related field preferred
Five or more years experience in SSIS/ADF development or relatable professional experience.
Experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems
Experience realizing applications from conception and design, to implementation and support
At least 5+ years experience in backend application design, development using programming languages like Java, C#, Powershell, Python, SQL/No SQL frameworks
Five or more years hands-on experience in building, maintaining and supporting cloud native solutions like containerized apps, RESTful APIs/Services on public clouds like Azure/AWS
Five or more years experience in design, development, managing & supporting data integrations, data pipelines connecting various data sources/systems/applications/cloud providers/snowflake/3rd party vendors using any of the technologies/tools like Mulesoft, SSIS, ADF, Talend, Kafka.
Experience with application lifecycle methodologies (e.g. agile, iterative), DevOps practices in the context of applications/solutions development
Excellent analytical, research, problem solving, collaboration ,communication & interpersonal skills
Ability to learn new and emerging technologies, specifically cloud related tools, techniques, and frameworks
Other Qualifications
Preffered certification in DP-900: Microsoft Azure Data Fundamentals/ DP-203: Data Engineering on Microsoft Azure/AZ-500: Microsoft Azure Security Technologies
Good communication skills to communicate with designers, management and customers
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