What are the responsibilities and job description for the Data Solutions Engineer position at Dale Workforce Solutions?
JOB POSTING :
A client of DWS currently has an excellent opportunity for a Data Solutions Engineer . This position could be based in any of our U.S. offices (Austin; Chicago; Boston; Houston; Los Angeles; New York; Menlo Park; Orange County; Portland; Sacramento; San Francisco; Santa Monica; Seattle; Washington DC; or Wheeling, WV) and consideration given for 100% remote US locations.
Responsibilities :
The Data team guides the firm in leveraging data to gain insights, drive growth, enhance operations, and support innovation. This includes strategic programs such as data governance and architecture, along with tactical initiatives such as self-service reporting and system integration.
The Data Solutions Engineer will design, develop, and implements systems to manage and analyze data efficiently and securely. They will collaborate with the Data and Solution architects to ensure alignment with best practice and strategic objectives.
Design and develop data pipelines to gather, transform, and load data from various sources.
Integrate data from different sources to provide a unified view.
Ensure data quality, accuracy, and consistency.
Provide tools and infrastructure to support data analysts and scientists.
Troubleshoot and resolve data-related issues.
Collaborate with other teams to understand data requirements and deliver solutions.
Monitor and maintain data systems to ensure smooth operations.
Collaborate with business support teams on BAU management of data solutions
Work with other members of the data team to identify suitable platforms and technologies
Define best practice technical standards for data solution delivery
Keep abreast of the data technological landscape
Document data processes, systems, and workflows for future reference and training.
Work with the Data Architect to identify suitable platforms and technologies
Define best practice technical standards for data solution delivery
Keep abreast of the data technological landscape
Implement DevOps for data platform solutions
Qualifications :
Bachelor's or master's degree in Computer Science, Information Technology, Data Science, or a related field - or equivalent relevant industry experience
2 years of proven experience as a Data Solutions Engineer or similar role, preferably in a technology-driven environment
In-depth knowledge of data infrastructure, system architecture, security best practices, and software development
Experience with multiple data storage, management, and integration technologies and platforms
Proficiency with cloud platforms, particularly Azure, and Microsoft Power Platform
Extensive experience with Microsoft Data Platform, including SQL Server BI suite, Microsoft Fabric, Azure Databricks, and / or Data Factory
Ability to work autonomously under pressure with minimal supervision or as part of a multidisciplinary team
Strong verbal and written communication skills, with the ability to influence and collaborate effectively across different teams and locations
Ability to build rapport and strong working relationships with stakeholders at all levels
Capability to work in a fast-paced environment and manage multiple projects concurrently
Knowledge of data privacy regulations and industry standards is a plus
Fluent in English, both written and spoken
Proficiency in designing, deploying, and managing solutions on Microsoft Azure, including Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning
Experience with Azure DevOps for continuous integration and continuous deployment (CI / CD) pipelines
Skilled in utilizing Microsoft 365 tools for data collaboration and integration, such as SharePoint, Teams, and OneDrive
Expertise in developing and automating workflows using Microsoft Power Automate and LogicApps
Ability to create and manage custom applications and dashboards using Microsoft Power Apps and Power BI
Familiarity with Azure Active Directory for identity and access management
Experience with implementing and managing Azure security features, such as Azure Security Center and Azure Key Vault
Proven experience working in a professional service environment
Ability to develop appropriate data solutions that balance timescales, quality, and cost
Experience of working within a framework of change management
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