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Data Analyst

Data Analyst
Dice
remote
8 months ago

Fervorly Job Requirements

Primary Skills:

  • Python, Scala, AWS services
  • NoSQL storage databases such as Cassandra and MongoDB
  • Apache Beam and Apache Spark
  • Amazon Redshift, Google BigQuery, and Snowflake

Secondary Skills:

  • Java, Go language
  • Microservices frameworks such as Kubernetes and Terraform

Key Duties and Responsibilities

Architect, design, and develop high-quality software solutions using Java, Scala, and Python. Also, address complex technical challenges and spearhead refactoring initiatives to improve code quality.

Demonstrate hands-on coding expertise and deep understanding of technology stacks. Participate in all phases of the software development life cycle, ensuring the successful delivery of projects.

Collaborate with cross-functional teams to define requirements, identify opportunities for improvement, and drive innovation. Provide technical guidance and mentorship to team members for their professional growth.

Champion technical excellence within the engineering team, ensure adherence to best practices, and constantly seek to increase competitive edge through world-class technology.

Required Skills

  • Relevant years of experience in software development with proficiency in Java, Scala, and Python.
  • Expertise in AWS services with a history of deploying data solutions on cloud platforms.
  • Experience in engineering project and process management in an agile environment.
  • Experience leading engineering teams with a track record of increased quality and productivity.
  • Proficiency in Go language is a plus.

Other Duties and Responsibilities

Responsible for compliance with all federal, state, and local laws, rules, and regulations affecting the company. Participate in quality assurance, compliance, and in-service and continuing education activities as requested.

Knowledge, Skills And Abilities

  • Strong proficiency in Java, Scala, and Python.
  • Hands-on experience with AWS services.
  • Experience with engineering project and process management in an agile environment.
  • Experience leading engineering teams with increased quality and productivity.
  • Experience in healthcare data domains, including eligibility, claims, payments, and risk adjustment datasets.
  • Experience working with product teams to gather requirements, prioritize tasks, and improve team velocity.
  • Proven ability to develop and deliver distributed and reactive applications.
  • Experience identifying and closing security gaps in software systems.
  • Hands-on experience architecting and building large-scale data processing infrastructure.
  • Excellent problem-solving skills and ability to guide the team in solving complex technical issues.
  • Knowledge of microservices architecture, cloud infrastructure, and containerized deployments.
  • Familiarity with NoSQL storage databases such Cassandra and MongoDB.
  • Knowledge of batch and streaming data pipeline technologies like Apache Beam and Apache Spark.
  • Proficiency in large-scale data warehouses such as Amazon Redshift, Google BigQuery, and Snowflake.
  • Experience with orchestration and deployment frameworks for microservices such as Kubernetes and Terraform.
  • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Capacity to prioritize tasks and meet project deadlines effectively.
  • Ability to work both independently and in a team-oriented, collaborative environment.
  • Willingness to contribute ideas for process improvement in software engineering.
  • Ability to communicate technical concepts to non-technical stakeholders.
  • Attention to detail and commitment to delivering quality work.
  • Ability to handle problems involving several concrete variables in standardized situations.
  • Ability to interact professionally with a variety of individuals.
  • Ability to work in an environment with potential interruptions.
  • Capacity to manage multiple simultaneous tasks with individual timeframes and priorities.

Data Analyst (7+ yrs experience, Python, Scala, AWS services, NoSQL)

Expertise level

Work arrangement

Key skills

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