Senior Data Engineer

Minimum Education

• Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)

Minimum Work Experience

• Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge

• Experience with big data; data processing and cloud technologies.
• Strong experience diagnosing system issues, engaging in data validation, and providing quality assurance testing.
• Experience with data manipulation; Data mining.
• Experience working in production cloud infrastructure.
• Experience with C# (programming language); Java (programming language); Programming concepts; Programming tools; Python (Programming Language); SQL (programming language).
• Knowledge of Microsoft Azure; Databricks or equivalent.
• Seeks to acquire knowledge in area of specialty.
• Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
• Ability to work independently.
• Demonstrated analytical skills.
• Demonstrated project management skills.
• Demonstrates a high level of accuracy, even under pressure.
• Demonstrates excellent judgment and decision-making skills.
• Great verbal and written communication skills, communicate complex findings in a clear and understandable manner
• Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
• Attention to detail.
• Communicate complex findings in a clear and understandable manner
• Collaborate effectively with cross-functional teams
• Adapt to changing priorities and thrive in a dynamic environment

Functional Accountabilities

• Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, data destruction, (scripts, programs automation, assisted by automation etc.)

• Provides guidance to data engineering in the design, development, implementation, testing, documentation, and preparation of large scale, high volume, high performance data structures for business intelligence analysts.

• Designs, develops and maintains real time processing applications and real time data pipelines.

• Ensure quality of technical solutions as data moves across environments.

• Provides senior level knowledge and insight into the changing cloud data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions.

• Develops, constructs, tests, and maintains architectures using advanced programming languages and tools.

• Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated.

• Performs other duties as assigned.

• Complies with all policies and standards.

Organizational Accountabilities

• Anticipate and responds to customer needs; follows up until needs are met

Teamwork/Communication

• Demonstrate collaborative and respectful behavior

• Partner with all team members to achieve goals

• Receptive to others' ideas and opinions

Performance Improvement/Problem-solving

• Contribute to a positive work environment

• Demonstrate flexibility and willingness to change

• Identify opportunities to improve clinical and administrative processes

• Make appropriate decisions, using sound judgment

Cost Management/Financial Responsibility

• Use resources efficiently

• Search for less costly ways of doing things

Safety

• Speak up when team members appear to exhibit unsafe behavior or performance

• Continuously validate and verify information needed for decision making or documentation

• Stop in the face of uncertainty and takes time to resolve the situation

• Demonstrate accurate, clear and timely verbal and written communication

• Actively promote safety for patients, families, visitors and co-workers

• Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance