Grade Level (for internal use):
10
The Team:
We seek a highly motivated, enthusiastic, and skilled engineer for our Industry Data Solutions Team. We strive to deliver sector-specific, data-rich, and hyper-targeted solutions for evolving business needs. You will be expected to participate in the design review process, write high-quality code, and work with a dedicated team of QA Analysts and Infrastructure Teams.
The Impact:
Enterprise Data Organization is seeking a Software Developer to create software design, development, and maintenance for data processing applications. This person would be part of a development team that manages and supports the internal & external applications that is supporting the business portfolio. This role expects a candidate to handle any data processing, big data application development. We have teams made up of people that learn how to work effectively together while working with the larger group of developers on our platform.
What??s in it for you:
- Opportunity to contribute to the development of a world-class Engineering team .
- Engage in a highly technical, hands-on role designed to elevate team capabilities and foster continuous skill enhancement.
- Be part of a fast-paced, agile environment that processes massive volumes of data??ideal for advancing your software development and data engineering expertise while working with a modern tech stack.
- Contribute to the development and support of Tier-1, business-critical applications that are central to operations.
- Gain exposure to and work with cutting-edge technologies, including AWS Cloud and Databricks .
- Grow your career within a globally distributed team , with clear opportunities for advancement and skill development.
Responsibilities:
- Design and develop applications, components, and common services based on development models, languages, and tools, including unit testing, performance testing, and monitoring, and implementation
- Support business and technology teams as necessary during design, development, and delivery to ensure scalable and robust solutions
- Build data-intensive applications and services to support and enhance fundamental financials in appropriate technologies.( C#, .Net Core, Databricsk, ,Python, Scala, NIFI , SQL)
- Build data modeling, achieve performance tuning and apply data architecture concepts
- Develop applications adhering to secure coding practices and industry-standard coding guidelines, ensuring compliance with security best practices and internal governance policies.
- Implement and maintain CI/CD pipelines to streamline build, test, and deployment processes; develop comprehensive unit test cases and ensure code quality
- Provide operations support to resolve issues proactively and with utmost urgency
- Effectively manage time and multiple tasks
- Communicate effectively, especially in writing, with the business and other technical groups
Basic Qualifications:
- Bachelor''s/Master??s Degree in Computer Science, Information Systems or equivalent.
- Minimum 5 to 8 years of strong hand-development experience in C#, .Net Core, Cloud Native, MS SQL Server backend development. Proficiency with Object Oriented Programming.
- Knowledge in Grafana, Kibana, Big data, Git Hub, EMR, Terraforms, AI-ML
- Advanced SQL programming skills
- Highly recommended skillset in Databricks , Scala technologies.
- Understanding of database performance tuning in large datasets
- Ability to manage multiple priorities efficiently and effectively within specific timeframes
- Excellent logical, analytical and communication skills are essential, with strong verbal and writing proficiencies
- Knowledge of Fundamentals, or financial industry highly preferred.
- Experience in conducting application design and code reviews
- Proficiency with following technologies:
- Object-oriented programming
- Programing Languages (C#, .Net Core)
- Cloud Computing
- Database systems (SQL, MS SQL)
- No-SQL (Databricks, Scala, python), Scripting (Bash, Scala, Perl, Powershell)
Preferred Qualifications:
- Hands-on experience with cloud computing platforms including AWS, Azure
- Proficient in working with EMR and Databricks for cloud-based data analytics and processing.
