This role helps to build, transform, and maintain data systems and data integrity, by cleaning, structuring, and formatting collected data from various systems and aggregating it into a format that can be easily analyzed. This position works closely with the Business Intelligence (BI) and Software Engineering teams of the Data and Engineering group. The Data Engineer would be working on multiple data projects, interacting with multiple cross-functional teams. The Data Engineer will be responsibl... more details
At OceanFirst Bank, each one of our employees plays an important role in fulfilling the mission and taking responsibility to execute daily tasks in alignment with our core values. Together we foster an environment of respect, professionalism and diversity that makes OceanFirst a great place to work and do business.
Great benefits include: on-site fitness facility at Red Bank and Toms River headquarter offices, hybrid schedule after initial onboarding has been completed (3 days in office, 2 days remote), employee perks & discount programs, tuition assistance, incentive compensation program, professional development opportunities, and more! Apply today to #BecomeOceanFirst and make an impact in the local community!
PRIMARY PURPOSE:
This role helps to build, transform, and maintain data systems and data integrity, by cleaning, structuring, and formatting collected data from various systems and aggregating it into a format that can be easily analyzed. This position works closely with the Business Intelligence (BI) and Software Engineering teams of the Data and Engineering group. The Data Engineer would be working on multiple data projects, interacting with multiple cross-functional teams. The Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Builds and maintains optimal and scalable data systems and pipelines.
Assemble large, complex data sets, from multiple sources, that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies.
Understands data flow between various systems and monitors daily jobs, troubleshoots issues in data flow as they occur and communicates the issues and resolutions with internal and external team.
Works with Business Intelligence to implement data control for more effective data collection and storage, as well as performing strategies to optimize the efficiency and quality of the data being collected.
Implements processes and systems to monitor data quality, ensuring that production data is always accurate and available for reporting and analytical purposes.
Responsible for developing and implementing test plans and scripts for various data quality processes.
Identifies data fields, their usage, rules and define quality control around it and evaluates datasets for accuracy and quality.
Performs source system data analysis to manage source to target data mapping.
Provides ongoing reports on the effects of different strategies and observes any trends or issues to raise with senior management.
Leverages SQL queries or ad Hoc method to perform above tasks.
Performs reverse engineering of physical data models from databases and SQL scripts.
Remains up to date with industry standards and technological advancements that will improve the quality of your outputs.
Responsible for ensuring SQL object permissions across different teams to limit access to only what is needed and approved.
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