Principal Data Engineer

Job Description:

Position Description:

Builds analytics tools that utilize data pipelines to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics. Designs and implements data engineering solutions – batch and streaming data processing/ingestion pipelines, data migration, modeling, and analytics and Artificial Intelligence/Machine Learning (AI/ML) model builds. Implements and supports Amazon Web Services (AWS) Cloud databases – Aurora MySQL, Postgres, and Oracle. Prevents cyber-fraud using Oracle, Snowflake, and PostgreSQL. Writes and optimizes SQL queries and stored procedures for database development using SQL, Python, and Shell Scripting Languages.

Primary Responsibilities:

Uses business knowledge to translate the vision for divisional initiatives into business solutions.

Performs data analysis, manipulation, and visualization using business technologies.

Develops and modifies and modifying software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.

Develops or directs software system testing or validation procedures, programming, or documentation; conferring with data processing or project managers to obtain information on limitations or capabilities for data processing projects

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.

Analyzes information to determine, recommend, and plan installation of a new system or modification of an existing system.

Confers with systems analysts and other software engineers/developers to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) performing data engineering and data warehousing development, using Oracle PL/SQL, Snowflake, AWS, NIFI, Python, and Informatica Power Center.

Or, alternatively, Master’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Engineer (or closely related occupation) performing data engineering and data warehousing development, using Oracle PL/SQL, Snowflake, AWS, NIFI, Python, and Informatica Power Center.

Skills and Knowledge:

Candidate must also possess:

Demonstrated Expertise (“DE”) performing requirements gathering, and designing and implementing complex data warehouses solutions -- high-volume data movement from operational data stores, reporting databases, and data marts to dimensional models -- for traditional RDBMS (Oracle’s Exadata) and distributed platforms (Hive/Hadoop), using ELT/ETL pipelines, Informatica Power Center, IICS, and Oracle PL/SQL; and collating data from sources -- Salesforce Cloud, SQL Server, Oracle, Flat files, S3 files, and REST APIs.

DE applying Continuous Integration/Continuous Deployment (CI/CD) practices to code releases, automated deployments, source code management, and version control, using GIT-Stash, SVN, or TFS; and implementing projects using Waterfall or Agile methodologies.

DE designing, implementing, and tuning complex data warehouse solutions in Oracle and SQL server environments; writing SQL queries, database triggers, stored procedures, and packages using Oracle PL/SQL; performing performance tuning using TOAD and SQL Developer; and scheduling batch jobs and performing PowerShell and UNIX shell scripting, using Control-M.

DE creating technical documents, project plans, and data models, using Power Designer; and performing unit, functional, and system integration testing manually to provide quality deliverables.

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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).