Software Engineering Advisor (33249133A) - The Cigna Group

This is a temporary position through one of the world's leading global health insurance companies 

REF ID: 33249133A
Role Overview: 33249133  Software Engineering Advisor CIGNA

• The objective of this position is to work with business and technical experts to implement software engineering best practices related that promotes the highest re usability across the US and Global.
• The individual must have superb analytical and technical skills coupled with the ability to drive project deliverables.
• The individual will be expected to participate in the collaborative concept definition, architectural refinement, software design and realization of products that support the strategic technology needs to support the organization.
• A full stack engineer is a person that has a breadth of knowledge in computer science, a problem solving mentality and a desire to learn.
• This person is comfortable working with in a technical capacity across many of the sectors including core development on platform, data processing and report generation.
• The Full stack will be working in a team that demands technical excellence and whose members are expected to hold each other accountable in the overall success of the output. Focus for this team is on the delivery of innovative solutions to complex problems.

Behaviors

• Drive automation pyramid and integrate with CI/CD tools for continuous validation.
• Understands when to automate and when not to.
• Drive mentality of building well architected applications for Cloud
• Drive the mentality of quality being owned by the entire team.
• Can identify code defects and work with other developers to address quality issues in product code.
• Passion for finding bottlenecks and thresholds in existing code through the use of automation tools.
• Passion for continuing education and improving code quality.

Responsibilities

• Develop technical architecture to achieve more modular, cloud centric, API and streaming driven architecture for agile delivery.
• Migrating On-Premise solution to cloud including Teradata Vantage
• Develop data pipelines to integrate with enterprise data steams – Cloud and on-perm
• Collaborate on architecture decisions and develop solutions in AWS – Including Python, Databricks, Redshift, elastic search, DynamoDB, Lambda, Kinesis, Glue and AI/ML tools.
• Create Proof of concepts, innovate and integrate cloud-based software in a continuous delivery environment.
• Lead multiple activities including but not limited to data models, solution, design data pipeline, APIs, partner integrations, and cloud infrastructure.

Skills & Experience:

• 8+ years of diverse Technology experience with a minimum of 5 years of experience in Software development with
• Experience with AWS capabilities – Databricks, dynamoDB, Lambda, Redshift, elastic search.
• Experience with API and Streaming technologies.
• Software development experience with Python, PySpark, Apache Spark and Kafka
• Strong knowledge of Data Integration (e.g. Streaming, Batch, Error and Replay) and data analysis techniques.
• Experience with GitHub, Jenkins, and Terraform.
• Experience with Teradata (Vantage) or any RDBMS system/ ETL Tools
• Good experience on designing and developing data pipelines for data ingestion and transformation using Spark.
• Excellent in trouble shooting the performance and data skew issues.
• Deep knowledge in partitioning, bucketing concepts of data ingestion.
• Working knowledge on the implementation of data lake ETL using AWS glue, Databricks etc.
• Proficiency in SQL, relational and non-relational databases, query optimization and data modelling.
• Experience with source code control systems like Gitlab.
• Experience with large scale distributed relational and NoSQL database systems.
• Expertise in designing technical solutions using object-oriented design concepts
• Excellent communication skills
• Provide recommendations and design optimal configurations for large-scale deployments.
• Be passionate about resolving user pain points through great design.
• Be open to receiving feedback and constructive criticism.

Education:

• Bachelor in Computer Science or equivalent trade.

Location and Schedule:

• Hybrid Nashville, TN - 2-3 days onsite

Hourly Pay Rate Range (dependent on location, experience, expectation)

The pay range that Magnit reasonably expects to pay for this position is: $56.00-$75.00/hr

Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)