Job Description

Job Title: Senior Data Engineer

Location: Remote

Term: Full Time

Job Description:

Responsibilities:

• Manage end to end delivery by Investigating problem areas, working cross-functionally with product manager & other stakeholders.
• Follow the Agile development methodology; think strategically and execute methodically.
• Provides information to client and leadership by collecting, analyzing, and summarizing development and service issues.
• Develop and manage capacity and growth projection forecasts of the environment within budgets.
• Required to understand encounter and clinical data sets and the data flows from upstream & downstream systems to ensure the incentive engine is accurately implemented.
• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
• Drive optimization, testing and tooling to improve quality of solutions.

Desired Experience/Skills:

• 8+ years of relevant experience.
• At least 4 years' experience on Snowflake database.
• Strong technical experience in large distributed systems, Data Warehousing, Data Lake at scale Project management skills: financial/budget management, scheduling and resource management experience with medium and large-scale projects.
• Design, develop and deploy production-ready algorithms at scale.
• Data Modeling experience (Star schema specifically)
• Experience on Power BI (direct query, import, composite, paginated reports, app-owns-data, matrix reports etc)
• Architecture Design Experience for Cloud and Non-cloud platforms.
• Knowledge on orchestrating workloads on cloud.
• Knowledge of one or more scripting language.
• Ability to set and lead the technical vision while balancing business drivers.
• Strong experience with PySpark, Python programming.
• Experience with NoSQL and streaming platforms, e.g. Kafka, MongoDB, Neo4j is a plus.
• Proficiency with APIs, containerization and orchestration is a plus.
• Architecture Design Experience for Cloud and Non-cloud platforms.
• Expertise on AWS/Azure.
• Ability to set and lead the technical vision while balancing business drivers.

Key Skills:

Snowflake, Power BI, Data modeling

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