Principal Software Engineer/Developer

Job Description:

Position Description:

Develops data driven software applications that drive insights and actions using Python. Modernizes existing technology using Amazon Web Services (AWS) Cloud-based solutions. Automates manual processes and crafts new self-service capabilities. Promotes data discovery, visualization, and survey analysis to provide mobile Business Intelligence (BI) solutions, using Tableau, Domo, and Qlik. Analyzes large-scale data sets using structured and unstructured data.

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:

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) performing data modeling for data lakes and warehouses, customer and financial data ingestion, and data quality application development and design.

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) performing data modeling for data lakes and warehouses, customer and financial data ingestion, and data quality application development and design.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) designing and implementing Extract, Transform, and Load (ETL) jobs to load data warehouses (Snowflake, Oracle, Teradata, and Hive) and data marts, using Informatica, Ab Initio, Spark SQL, Databricks, and Python; developing Shell and Python scripts for ETL; scheduling ETL jobs using Control-M and Autosys Scheduler; and writing and tuning SQL queries and procedures using Snowflake and Oracle.

• DE developing and designing Cloud-native applications and microservices, and migrating on-premise data centric applications to Cloud, using AWS services -- EC2, ECS, RDS, KMS, ALBs, and Lambda; containerizing applications using Docker; and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines for application code, using Jenkins, Stash/GitHub, and uDeploy.

• DE providing technical leadership for onshore and offshore development and core maintenance projects according to Waterfall and Agile methodologies; designing, building, and maintaining applications related to data quality, governance, and data migration, using Python on AWS Cloud and On-Premises servers.

• DE performing data modelling and database design in an analytics and marketing data warehouse environment, using type 1, 2, 3 dimensional structures, and Dimensional (Star and Snowflake) and data vault data modelling techniques.

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Certifications:

Category:

Fidelity’s working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).