Job Description:

Position Description:

Crafts and builds complex end-to-end systems and performs full stack development, using PL/SQL, NoSQL, and Oracle performance tuning. Executes pilot implementation of data platforms on Cloud using enterprise warehouses, open source data warehouse tools, data marts, Snowflake, and Operational Data Stores (ODS). Identifies, analyzes, and interprets trends or patterns in complex data sets using visualization and reports tools — Tableau and BusinessObjects (BO). Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

• Participates in architecture design teams.
• Defines and implements application level architecture.
• Develops applications on complex projects, components, and subsystems for the division.
• Recommends development testing tools and methodologies and reviews and validates test plans.
• Responsible for QA readiness of software deliverables.
• Develops comprehensive documentation for multiple applications or subsystems.
• Establishes full project life cycle plans for complex projects across multiple platforms.
• Responsible for meeting project goals on-time and on-budget.
• Advises on risk assessment and risk management strategies for projects.
• Plans and coordinates project schedules and assignments for multiple projects.
• Acts as a primary liaison for business units to resolve various project/technology issues.
• Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
• Advises senior management on technical strategy.
• Mentors junior team members.
• Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.
• Develops original and creative technical solutions to on-going development efforts.

Education and Experience:

No degree and seven (7) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and building highly scalable Business Intelligence (BI) and analytical solutions on Cloud and on-premise platforms in a financial services environment, using Data Warehouse and Mart techniques.

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and building highly scalable, Business Intelligence (BI) and analytical solutions on Cloud and on-premise platforms in a financial services environment, using Data Warehouse and Mart techniques.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and building highly scalable, Business Intelligence (BI) and analytical solutions on Cloud and on-premise platforms in a financial services environment, using Data Warehouse and Mart techniques.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) designing and building data warehouses and performing ETL development, using Oracle, PL/SQL, Informatica, Control-M, and UNIX; and building and maintaining Continuous Integration/Continuous Delivery (CI/CD) pipelines using Terracore for application code deployment, Jenkins, GitHub, and uDeploy.
• DE developing and implementing real time streaming platforms using technology stack Apache Kafka and Oracle Golden Gate (OGG).
• DE developing Cloud-native applications and migrating on-premise data centric applications to Cloud, using Snowflake, Datadog, Docker, and Amazon Web Services (AWS).
• DE developing Big Data solutions on Hadoop, using Hive/Spark SQL, Python, and R.

#PE1M2

Certifications: