Job responsibilities
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience.
- Experience in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Databricks, Glue, Lambda, EMR, ECS, and Aurora.
- Advanced knowledge of agile methodologies, including CI/CD, application resiliency, and security practices.
- Proficiency in programming languages, and experience in Apache Spark for data processing and application development.
- Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.
- Hands-on experience in system design, application development, testing, and ensuring operational stability.
- Demonstrated expertise in software applications and technical processes within specialized disciplines such as cloud computing, artificial intelligence and machine learning
- Proficiency in automation and continuous delivery methods, enhancing efficiency and reliability.
- In-depth understanding of the financial services industry and its IT systems.
- Comprehensive understanding of all aspects of the Software Development Life Cycle.
Preferred qualifications, capabilities, and skills
- Expertise in relational databases such as Oracle or SQL Server.
- Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL.
- Possession of AWS certification, demonstrating cloud expertise.
- Familiarity with Databricks for advanced data analytics and processing.