Sr Data Engineer

Responsibilities:

Research, evaluate, identify alternative approaches, recommend, design and code efficient and effective solutions for challenging problems ranging from small to large work efforts for low to high complexity problems.
Develop, test, deploy and schedule complex ETL/ELT solutions to integrate multiple data asset across the organization.
Comply with standards and guidelines related to the design, construction, testing and deployment activities as established by departmental and organizational standards.
Demonstrate collaborative skills working within a project team of diverse skills and will bring communication skills including oral, written and presentation skills, creativity, and problem-solving skills to a challenging environment.
Partner with other competency leads/ developers and support project planning, technical design, development, and solution deployment functions.
Identify opportunities in business processes, system capabilities and delivery methodologies for continuous improvement as applicable.
Lead, mentor and develop development resources and provide project related directions.
Act in a technical SME role, support development, QA, and production support teams in SDLC and operational activities.

Qualifications:

Undergraduate degree or equivalent experience.
5 years of experience with modern relational databases.
5 years of experience optimizing SQL statements.
5 years of experience working on commercially available software and / or healthcare platforms as a Data Engineer.
3 years of experience building data pipelines in Azure Data factory, Databricks, App services, Az Functions.
3 years of experience working with Synapse, Cosmos.
3 years of experience designing and building Enterprise Data solutions on Cloud.
1 years of experience/knowledge of Power BI.

Key Skills: