Come join one of the most talented and fastest growing Data Platforms & Engineering group in Q2-Helix where there is no end to the learning opportunities available to you. As an engineer of the Data Platform Engineering team, you will be responsible for analysis, design & execution including processes to ensure a consistent and optimal use of our data technologies for various customer facing applications. This is a strong “hands-on” position requiring very effective technical skills, leadership skills as well as good interpersonal and communication skills

#LI-Remote

#LI-PG1

Responsibilities

• Work on software development (data) projects within different disciplines which influences multiple areas of the business
• Work closely with the product manager, business analyst, and architect to develop the technical design and solutions
• Analyze, code, test, implement, and update existing or new data platform engineering solutions
• Coordinate with other team members and provide the tangible end-product
• Use a process-driven method to approach design solutions
• Work collectively with the product owner, program leadership, and others and support them in resolving hitching issues
• Plan your development tasks accordingly to improve and grow your performance bar considerably
• Manage Team execution to ensure adherence to schedule, and scope
• track Team milestones, deliverables, and key decisions
• coordinate activities of team personnel
• Work with teams to implement a modern data platform engineering deliverables aligned to our customer needs
• Develop/design data models, data flows, and integration patterns for the data systems, like data warehouse, databases, data lake, and usage data layers.
• Collaborate with fellow data engineers and other architects in building and developing conceptual, logical, and physical models
• Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end
• Identify new opportunities and help refine automation of regular processes, track issues, and document changes
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members
• Advocating/collaborate for an effective data governance practice

Skills and Qualifications

• A minimum of 8+ experience, with at least 5+ years in a data engineering role
• Experience in development of data warehousing, or Lake House Architecture or relevant experience (e.g., Snowflake, Microsoft SQL Server, Microsoft Shared Pool)
• Diverse experience with Data pipelines (e.g., Fivetrans, HVR)
• Experience with JIRA
• Design scalable solution strategies to support batch, near real time and streaming data integration with new and existing tools/technologies architecture
• Understand the role of data, domain, and ontology modelling in the building of scalable end-user facing applications.
• Working experience in multidimensional data modeling, such as star schemas, normalized and denormalized models, handling “slow-changing” dimensions/attributes
• Technical proficiency with standards-based data engineering tools
• Deep understanding of Microsoft Azure cloud and its data platforms offerings
• Have a passion for learning new technologies in space.
• Experience with a data catalog solution

#LI-Remote

#LI-PG1

At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.