What are the responsibilities and job description for the Specialist Data Analyst || FullTime position at ARK InfoTech Spectrum?
Job Title: Software Engineer with Data Specialization
Location: Nashville, TN (5 days Onsite)
Key Responsibilities:
Software and Data Engineering: Utilize your expertise in Java and Kubernetes to build and maintain robust data solutions. DevOps and monitoring solutions as well as a strong knowledge of the SDLC are required. Build and manage dozens of data pipelines to source and transform data based on business requirements.
Innovation and Learning:
Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements. Self-identify the need for new skills to be developed and adopt new technologies into your skill set in a month’s time.
Team Collaboration:
Collaborate within a Pod of 4 data engineers, working towards common objectives in a consultative fashion with clients.
Data Movement and Transformation: Use Apache NiFi and Apache Flink for data movement, streaming, and transformation services, ensuring efficient and reliable data workflows.
Requirements:
- Experience: 3-7 years of experience in data and cloud application engineering.
- Technical Skills: Proficiency in deploying applications in the cloud that support data ingestion and curation using Java and Kubernetes (AWS EKS) as the deployment architecture.
- Data Warehousing: Strong knowledge of data warehousing.
- Java: Advanced skills in Java programming.
- Data Pipelines (NiFi, DBT): Experience in building and managing data pipelines.
- Kubernetes: Proficiency in using Kubernetes for container orchestration.
- AWS: Strong knowledge of AWS services.
- Prometheus: Expertise in using Prometheus for monitoring.
- GitHub: Proficiency in using GitHub for version control.
- Jenkins: Experience in using Jenkins for continuous integration and delivery.
- Terraform: Strong knowledge of Terraform for infrastructure as code.
- Kafka: Experience in using Kafka for streaming data.
- Domain Expertise: Nice to have experience in financial data analysis, risk, and compliance data management.
- Learning Agility: Ability to quickly learn new technologies by applying current skills.
- Adaptability: Ability to adapt to new technologies quickly and efficiently.
