Address Every career journey is personal. That's why we empower you with the tools and support to create your own success story.
Be challenged. Be heard. Be valued. Be you ... be here.
Job Summary
The Specialist, Data Engineering works on different projects of Data Engineering to support the use cases, data ingestion pipeline, data warehouse, data lake and enterprise big data platform with multi-datacenter contexts and identify potential process or data warehousing issues. Identify the architecture, infrastructure and interface to data sources, tools supporting automated data loads, security concerns, analytical models and data visualization. The Data Engineer team supports marketing analytic teams with analytical tools that enable our analytics and business communities to do their job easier, faster and smarter. The team brings together data from different internal & external partners and builds a curated Marketing analytics focused data & tools ecosystem. The Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need. Job Description
- Project Management: builds data pipeline for various data sources, particularly from many external data sources, such as brand data and other data from vendors and ingestion of public data sources. Works with other project team members to understand the use cases, familiar with data sources, provides recommendation on data ingestion processes, complete data ingestion, monitor and identify potential process or data quality issues. Collaborates with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules.
- Collaboration: Collaborates with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules. Collaborates with business users, business analysts and technical architects in transforming business requirements into analytical workbenches, tools and dashboards reflecting usability best practices and current design trends. Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team.
- Process Improvement: Accesses, extracts, and transforms Credit and Retail data from a variety of sources of all sizes (including client marketing databases, 2nd and 3rd party data) using Hadoop, Spark, SQL, Big data technologies etc. Provides automation help to analytical teams around data centric needs using orchestration tools, SQL and possibly other big data/cloud solutions for efficiency improvement.
- Project Support: Supports Sr. Specialist and Specialist in new analytical proof of concepts and tool exploration projects. Effectively manages time and computing resources in order to deliver on time/correctly on concurrent projects. Involved in creating POCs to ingest and process streaming data using Spark and HDFS.
- Data and Analytics: Answers and trouble shoots questions about data sets and analytical tools; Develops, maintains and enhances new and existing analytics tools/Frameworks to support internal customers/consumers. Ingests data from different sources, process it according to the requirement document in order to store data to Hive or NoSQL database or different warehousing solutions. Manages data coming from different sources, involved in HDFS maintenance, and loading of structured and unstructured data. Applies knowledge in Agile Scrum methodology that leverages the Client BigData platform and used version control tool Git.
- Technical Skills: Ensure database designs efficiently. Drive continual improvement and enhancement of existing systems. Collaborate with Data Architects/Engineers for data model management, documentation, and version control. Capture CDE (Critical Data Elements) and work with Business/Data Engineers to translate into Edit check rules, Data Quality check scenarios. Experience on project management framework Agile (Jira toolset). Analysis and query on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Expert in ER studio, Business process management tool. Expert knowledge on metadata management and related tools. Exposure Azure data environment and familiarity with associated tools would be added advantage. Knowledge and experience in developing software using agile methodologies. Exhaustive experience in Dimensional modeling for Data Marts. Has the ability to operate with a limited level of direct supervision. Experience in modelling a third normal form, Star / Snowflake Data Warehouse system. Good experience in Data Profiling and Analysis
Reports to: Manager or above
Working Conditions/ Physical Requirements: Normal office environment
Direct Reports: 0
Minimum Requirements:
- Degree Required: Bachelor’s Degree
- Area of Study: Computer Science, Information Systems
Years of Work Experience Required:
- 7+ years
Type / focus of work experience required: IT, SQL, Hadoop Ecosystems, Data warehouse, Data Modelling
This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.
About Bread Financial
At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be a part of our award-winning culture. We’ve been consistently recognized as a best place to work in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.
Bread Financial is a tech-forward financial services company providing simple, personalized payment, lending and saving solutions. The company creates opportunities for its customers and partners through digitally enabled choices that offer ease, empowerment, financial flexibility and exceptional customer experiences. Driven by a digital-first approach, data insights and white-label technology, Bread Financial delivers growth for its partners through a comprehensive product suite, including private label and co-brand credit cards, installment lending, and buy now, pay later (BNPL). Bread Financial also offers direct-to-consumer solutions that give customers more access, choice and freedom through its branded Bread Cashback American Express® Credit Card and Bread Savings products.
Headquartered in Columbus, Ohio, Bread Financial is powered by its 7,500+ global associates and is committed to sustainable business practices.
- All job offers are contingent upon successful completion of credit and background checks.
- Bread Financial is an Equal Opportunity Employer.
Job Family:
Data and Analytics Job Type:
Regular
