Job Summary: 

• Develop an effective and highly skilled mixed team of data engineers
• Work across departments to build an engineering excellence culture
• Line management of the engineers within the team
• Manage the hiring and skills development of the team
• Work with the data architect to build the core data model for the organisation both from an operational and analytical perspective.
• Drive an engineering expertise into teams by promoting reliability, successful deployments, and performance.
• Manage the costs of pipelines and drive through new technology
• Develop the standard methodology around CICD, code frameworks, and testing
• Work with product managers and technical leads to ensure that the demand is managed effectively, items sequenced and resourced effectively
• Support technology in reducing the TCO of the organization around data by building and consolidating data onto new cloud-based BEAM platform.
• Develop and implement a roadmap around strategic data set build.

Skills on Resume: 

• Team Development (Soft Skills)  
• Cultural Development (Soft Skills)  
• Line Management (Soft Skills)  
• Data Modeling (Hard Skills)  
• Engineering Leadership (Soft Skills)  
• Cost Management (Hard Skills)  
• CICD Methodologies (Hard Skills)  
• Strategic Planning (Hard Skills)

Job Summary: 

• Provide people and technical leadership to support the Data Engineering team and goals.
• Manage and motivate a team of data developers, providing them with the necessary direction, guidance and tools for success.
• Work closely with cross-functional team members to improve the organizational vision of the Conexus platform and help solve issues and roadblocks in scaling the data platform.
• Defining and executing team's deliverables and milestones.
• Outlining the data platform priorities, achieving measurable impacts and outcomes.
• Work closely with business stakeholders and end users to define business requirements.
• Ensure all development projects adhere to best practices and standards from a design, architecture, monitoring, and security perspective.
• Review and approve all design and development work, ensuring the quality of technical and functional documentation and solution designs.
• Act as a point of contact for technical and functional issues as well as high priority requests.
• Oversee the quality and integrity of data when critical production issues arise, ensuring proper communication with other business and technical teams.
• Lead all projects and work efforts to provide resource estimates, and ensure initiatives are delivered on-time, with quality and within budget and scope.

Skills on Resume:

• Technical Leadership (Soft Skills)  
• Team Management (Soft Skills)  
• Cross-functional Collaboration (Soft Skills)  
• Project Execution (Hard Skills)  
• Requirements Definition (Hard Skills)  
• Quality Assurance (Hard Skills)  
• Problem Solving (Soft Skills)  
• Project Management (Hard Skills)

Job Summary: 

• Manage a team of Data Engineering professionals with multiple tools, platforms, pipelines
• Work with Director of Data Science and Engineering and other technical stakeholders to develop a roadmap, quarterly milestones, release targets, team goals
• Support business goals via design, implementation, and refinement of a robust, scalable architecture to support anticipated data volumes and future growth
• Mentor team members, support onboarding, training, continued career development
• Perform technical walkthroughs as needed to communicate design/coded solution and to seek input from technology and business stakeholders
• Work closely with Data Science team to provide datasets necessary for experiments and creating machine learning models
• Understand, articulate and present business requirements into technical solutions
• Analyze and profile current data to ensure no requirements are missed
• Work with quality assurance team to build test plans to validate that new systems meet business requirements
• Present solutions to both technical and non-technical audiences
• Set standards and share knowledge, ensuring the team remain engaged and skilled in the latest technology

Skills on Resume:

• Data Engineering Management (Hard Skills)  
• Roadmap Development (Hard Skills)  
• System Architecture Design (Hard Skills)  
• Mentorship and Training (Soft Skills)  
• Technical Communication (Soft Skills)  
• Data Provisioning (Hard Skills)  
• Requirements Analysis (Hard Skills)  
• Presentation Skills (Soft Skills)

Job Summary: 

• Contribute technical leadership, as well as people management and mentorship, to Data Engineers working on Data Platform.
• Scale Data Engineering capability through hiring, mentoring, and leading by example. 
• Contribute to the growth of culture of ownership, autonomy and inclusivity, and are responsible for hiring and developing best in class talent.
• Design, build, and maintain best-in-class Data Platform.
• Uphold Data Engineering standards
• Help to develop the careers and skills of Data Engineers.
• Solving problems with Data by advising and guiding product owners on potential solutions to complex problems.
• Promote the BEAM brand both internally and externally
• Establish relationships with key external partners
• Develop and manage talent, mentor, and develop team to ensure growth.
• Lead, mentor and collaborate with a diverse team to establish and evolve data capabilities and help to embed standard practices

Skills on Resume:

• Technical Leadership (Soft Skills)  
• Talent Development (Soft Skills)  
• Cultural Development (Soft Skills)  
• Data Platform Design (Hard Skills)  
• Engineering Standards (Hard Skills)  
• Problem Solving (Soft Skills)  
• Partnership Management (Soft Skills)  
• Team Collaboration (Soft Skills)

Job Summary: 

• Identify and report on key drivers of subscriber growth. 
• Perform ad-hoc studies on large client data sets, work with analytics, Client Marketing, and Sales teams to build hypotheses on impact on carrier business and subscriber behavior.
• Be a subject matter expert with data and reporting.
• Acknowledge and troubleshoot any concerns with reporting or source data. 
• Proactively seek out quality issues and address them with appropriate teams.
• Provide the data for presentations to senior management and Board presentations.
• Work with data client partners personnel to secure new sources of program data.
• Prioritize multiple requests and set expectations with stakeholders
• Use various technologies to mine complex, large, and varied data sources and platforms and create databases to efficiently store and manage such data.
• Use various technologies to develop data processing scripts, pipelines to automate and streamline data ingestion and aggregation.
• Use BI tools to develop semantic data models and visualizations.

Skills on Resume:

• Data Analysis (Hard Skills)  
• Hypothesis Testing (Hard Skills)  
• Subject Matter Expertise (Soft Skills)  
• Data Troubleshooting (Hard Skills)  
• Quality Assurance (Soft Skills)  
• Stakeholder Communication (Soft Skills)  
• Data Mining (Hard Skills)  
• BI Tool Proficiency (Hard Skills)

Job Summary: 

• Providing direct functional leadership to a group of Data Engineers within a scrum team
• Hands-on coding as part of a team, developing products and services
• Working with other Engineering Managers to provide technical alignment across teams
• Innovating and creating an environment that fosters innovation
• Mentoring, coaching, and supporting the career development of the Data Engineers
• Leveraging deep software engineering expertise to coach less experienced engineers and guide them to solve challenging problems
• Nurturing and encouraging creativity offers a huge amount of freedom from a technology and ownership standpoint.
• Ensure build of data sets comply with GDPR and CISO policies
• Implement data governance policies in particular ownership, quality, and compliance.
• Effectively communicate progress against the plan to senior business partners.
• Continuously raise the engineering bar with experience and passion for software excellence

Skills on Resume:

• Scrum Leadership (Soft Skills)  
• Hands-on Coding (Hard Skills)  
• Technical Alignment (Soft Skills)  
• Innovation Facilitation (Soft Skills)  
• Career Mentoring (Soft Skills)  
• Software Engineering Expertise (Hard Skills)  
• Data Compliance (Hard Skills)  
• Communication Skills (Soft Skills)