Job Type: Lead Software Engineer from home
Location: Alabama work from home
Company: CVS Health

Responsibilities:

• Designing, creating, refining, and maintaining data pipelines and microservices code including business logic to generate projected P&L statements are among the responsibilities.
• Collaborate directly with data scientists, data engineers, and front-end developers to integrate their front-end apps, ML and AI models, and data pipelines with our microservices and data lake.
• Resolve intricate data and analytical issues to produce insights that support corporate objectives.
• Advise, consult, coach, mentor, and mentor other professionals working with data and analytics on software and data best practices.
• Promote a culture where data and analytical solutions are shared, reused, designed for scale stability, and operated efficiently.
• In order to increase productivity, take the lead in evaluating, implementing, and deploying new software engineering and analytics tools and processes.
• To create technical architectures for important company projects and activities, collaborate with architects.

Requirements:

Needed Requirements:

• At least one programming language (Python, Javascript, PHP, etc.) and seven to ten years or more of progressive experience are required for strong application development.
• At least seven to ten years of steadily increasing experience in relational databases, big data analysis, and SQL.
• Strong background developing sophisticated solutions using cloud services like RDBMS, NoSQL, Serverless Functions, and Data Pipelines in environments like Azure, GCP, AWS, etc.
• Strong preference for experience with PySpark and/or Python.
• It is advantageous to have knowledge of quick prototyping frameworks such as Django and Laravel.
• Possessing Jupyter Notebook or Databricks experience is advantageous.
• Strong grasp of algorithms and data structures

Extra inherent characteristics

• The capacity to develop and pick up new technologies by remaining knowledgeable about the newest developments in data engineering and software.
• Proficiency in identifying issues’ underlying causes.
• Self-motivated and a proactive student

Instruction:

• A bachelor’s degree or above in a related field, such as computer science, engineering, mathematics, or finance

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