Vacancy expired!
job summary:
The Role: The Data Engineer designs, builds, and oversees the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. Essentially providing actionable and contextual information to operational staff and leadership to make data-driven decisions. Efficiently gather report requirements and makes specification recommendations while understanding how the analytical insight will impact the business.In addition, they will establish the overall data hygiene governance, processes, and workflows based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required.What You Get To Do Everyday:- Collaborate with technology and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Design and develop solutions to support ingestion, provisioning, and visualization of complex enterprise data to achieve analytics, reporting, and data science goals.
- Create and establish design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements.
- Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs.
- Implement processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes that depend on it.
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Work closely with a team of frontend and backend engineers, product managers, and analysts.
- Design logically sound Azure data architectures which are scalable and repeatable.
- Develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and to maintain, defend and update data structures and integrity on an automated basis.
- Work closely with software engineers and follow best practices for data management consumption.
- Create comprehensive documentation for team members and end users on available data and systems.
- Provide on-boarding to team members for new technologies related to available data sets.
- Perform other position-related duties as assigned.
- BS in Information Science, Data Science, Information Technology, Information Systems, Mathematics, Statistics
- 3+ years of experience working with database tools
- 3+ years of programming experience using Python and C#
- 3+ years of experience working with SQL server integration services or ETL tools
- 3+ years of experience working with data integration tools
- 3+ years of cloud development experience (Azure and AWS preferred)
- 2+ years of NoSQL data store experience
- Expertise using data visualization tools such as Tableau, Informatica, Spotfire, and PowerBI is a plus
- 3-4 years of hands-on experience with Application Development Skills - web based or service based
- 3 years of hands-on experience with ETL tools and automation
- 1 year of experience cloud-based technology stack understanding
- Demonstrative technical growth with professional certifications such as:
- Azure Certifications
- DP-200/ DP 201 Microsoft Certified Data Engineer
- DP-300 Microsoft Certified Database Administrator
- DA-100 Microsoft Certified Data Analyst Associate
- AZ-900 Microsoft Certified Azure Fundamentals
- Azure Certifications
- Strong verbal and written communication
- Excellent analytical and problem-solving skills
- Ability to work well in teams
- Strong work ethic and attention to detail
- Collaborate with technology and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Design and develop solutions to support ingestion, provisioning, and visualization of complex enterprise data to achieve analytics, reporting, and data science goals.
- Create and establish design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements.
- Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs.
- Implement processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes that depend on it.
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Work closely with a team of frontend and backend engineers, product managers, and analysts.
- Design logically sound Azure data architectures which are scalable and repeatable.
- Develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and to maintain, defend and update data structures and integrity on an automated basis.
- Work closely with software engineers and follow best practices for data management consumption.
- Create comprehensive documentation for team members and end users on available data and systems.
- Provide on-boarding to team members for new technologies related to available data sets.
- Perform other position-related duties as assigned.
- BS in Information Science, Data Science, Information Technology, Information Systems, Mathematics, Statistics
- 3+ years of experience working with database tools
- 3+ years of programming experience using Python and C#
- 3+ years of experience working with SQL server integration services or ETL tools
- 3+ years of experience working with data integration tools
- 3+ years of cloud development experience (Azure and AWS preferred)
- 2+ years of NoSQL data store experience
- Expertise using data visualization tools such as Tableau, Informatica, Spotfire, and PowerBI is a plus
- 3-4 years of hands-on experience with Application Development Skills - web based or service based
- 3 years of hands-on experience with ETL tools and automation
- 1 year of experience cloud-based technology stack understanding
- Demonstrative technical growth with professional certifications such as:
- Azure Certifications
- DP-200/ DP 201 Microsoft Certified Data Engineer
- DP-300 Microsoft Certified Database Administrator
- DA-100 Microsoft Certified Data Analyst Associate
- AZ-900 Microsoft Certified Azure Fundamentals
- Azure Certifications
- strong verbal and written communication
- Excellent analytical and problem-solving skills
- Ability to work well in teams
- strong work ethic and attention to detail
- Experience level: Entry Level
- Minimum 2 years of experience
- Education: Bachelors (required)
- Python
- Azure
- AWS
- SQL
Vacancy expired!