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:

• Expertise in ETL technologies and processes.
• Experience in big data tools and databases.
• Experience in cloud computing technologies.
• Working knowledge of computer programming languages (Java, Python, R, Scala).
• Understanding of database security and compliance tools