Highly Skilled Data Analyst Position
2 days ago
As a Data Engineer II, you will be part of an agile team responsible for developing and delivering data collection, storage, access, and analytics solutions that are secure, stable, and scalable. Your unique combination of design thinking and experience will help us achieve new heights.
Key Responsibilities:
- Executes software solutions, designs, developments, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software development concepts and 2+ years applied experience
- Proficiency in one or more large-scale data processing distributions such as JavaSpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on
- Hands-on practical experience in application development, testing, and operational stability
- Proficient in coding in one or more modern programming languages
- Should be good hands-on on AWS services and its components along with good understanding on Kubernetes
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Strong understanding of domain driven design, micro-services patterns, and architecture
- Overall knowledge of the Software Development Life Cycle along with experience with IBM MQ, Apache Kafka
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, LLMs etc.)
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with modern front-end technologies
- Experience designing and building REST API services using Java
- Exposure to cloud technologies - knowledge on Hybrid cloud architectures is highly desirable
- Good to have AWS Certification
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