SOFT's client located in Philadelphia, PA is looking for a Data Quality Engineer - Automation for a full time role with benefits.
Knowledge and Skills:
-Excellent written and oral communications skills. Independently, presents both orally and in writing, findings, and assessments; prepares and presents information and responses to highly complex inquiries; demonstrates the ability to
manage the communication process; the ability to communicate with clients, colleagues and management to explain complex issues clearly and concisely; actively engages in transferring technical knowledge; diffuses conflict and builds consensus.
-Excellent analytical and problem-solving skills. Possesses a logical, analytical and creative approach to problems; Demonstrates expert level analytical and problem-solving skills; organizes data and information in a manner that effectively
communicates issues; identifies underlying issues or problems and recognizes symptoms that indicate more severe problems or issues.
-Excellent interpersonal skills. Demonstrates the ability to lead and participate effectively on a team; leads complex and diverse team efforts by virtue of both technical expertise and leadership skills of influence; recognizes the value that different
perspectives and cultures bring to an organization; draws on experience to resolve highly complex issues; displays strong interpersonal skills in dealing with people at all levels of an organization.
-Excellent time management skills. Possess a meticulous and organized approach to work; Identifies and assesses highly
complex supervisory issues; effectively manages highly complex issues to meet our objectives and goals.
-Excellent knowledge of various computer systems and technologies with an ability to learn new skills and technology quickly. An awareness of current issues affecting the industry and its technologies.
-Subject to minimal or no oversight in work performed; serves as mentor and/or coach and provides constructive feedback to less experienced staff; engages other stakeholders in collecting feedback and input to complete work activities.
Education and Experience:
-Bachelor`s degree with a concentration in Information Technology or Computer Science or equivalent significant experience in information technology and software testing is required.
- Minimum of 7 years of experience designing and developing tests for ETL and Data Warehouse solutions using a software development approach.
-Minimum of 5 years of automation development experience with technologies required.
-Product Specific Certifications as applicable are desired.
Responsibilities:
This Job Description is for the Information Technology Job Family, and could include anyone within the ITS department that performs these
tasks.
The senior level Data Engineer Quality Automation position designs or modifies testing/data validation/quality assurance for automated
applications and procedures for solutions to high to highly complex business problems. Also has full operational knowledge of all phases of
testing and can work independently at a high level of complexity related to quality assurance. Directs and reviews work of lower-level
engineers and/or may perform as an individual contributor and/or lead data testing for large and highly complex systems. Considered highly
skilled and proficient in discipline. Conducts highly complex, important work operating with autonomy and wide latitude for independent
judgment.
50%
Data/ETL Test Design and Execution
Design and develop comprehensive data verification and validation for backend data-oriented systems and ETL processes using modern
tools, languages, data processing frameworks, and databases approved for use at FRS as applicable. Use scripting/programming languages
with a modern IDE and source code management. Develop automated solutions where possible, using scheduling, CI/CD jobs, or
application event triggers as available. Work with structured and unstructured data from a variety of data stores, such as data lakes,
relational database management systems, and/or data warehouses.
20%
Technical Leadership
Investigate and implement technologies and frameworks that could contribute to process improvements. Take lead in improving best
practices that benefit all team members performing data testing. Recommend methods based on a history of experiences testing and
exploring new technologies.
10%
Data Visualization Testing
Develop solutions for testing data visualizations using common visualization platforms.
10%
Team Collaboration and Knowledge Sharing
Mentors less-experienced team members by providing direction and guidance. Participate and promote team discussions and contribute to a
collaborative work environment.
10%
Participation and Compliance
Participates in Bank, department, or system projects of high to highest complexity. Demonstrates effective Core Competency skills for grade
and position. Performs other related duties as assigned. Actively involved in the accomplishment of departmental and Bank wide quality
initiatives. Complies with all applicable information security policies, guidelines and practices.