Qureos Mentor

Bread Financial

<div><div>Every career journey is personal. That's why we empower you with the tools and support to create your own success story.</div><div></div><div>
Be challenged. Be heard. Be valued. Be you ... be here.</div><div></div><div>
Job Summary</div>
The Senior Data Engineer works on different projects of data engineering to support the use cases, data ingestion pipeline and identify potential process or data quality issues. This role also partners with the data science team on special projects related to model development and deployment framework. The Sr 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 &amp; external partners and builds a curated Marketing analytics focused data &amp; tools ecosystem. The Sr Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need.<div></div><div><br>
Essential Job Functions</div><ul><li><div>
Builds data pipeline for various data sources, particularly from many external 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. - (15%)</div></li><li><div>
Collaborates with internal/external stakeholders to manage data logistics &ndash; 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. - (15%)</div></li><li><div>
Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team. 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. - (10%)</div></li><li><div>
Provides automation help to analytical teams around data centric needs using orchestration tools, SQL and possibly other big data/cloud solutions for efficiency improvement. - (5%)</div></li><li><div>
Supports Lead Data Engineer and Principal Data Engineer 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. - (10%)</div></li><li><div>
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. Design, develop and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources. - (10%)</div></li><li><div>
Create automation systems and tools to configure, monitor, and orchestrate our data infrastructure and our data pipelines. Ingests data from different sources, processes it according to the requirement document in order to store data to Hive or NoSQL database or different warehousing solutions. Involved in HDFS maintenance, and loading of structured and unstructured data. - (10%)</div></li><li><div>
Evaluate new technologies for continuous improvements in Data Engineering. Collaborate closely with the product team to build out new data features. Work with the data analysts and scientists to implement descriptive, forecasting, and predictive algorithms and models using the latest technologies. Make technology decisions for our data infrastructure. - (10%)</div></li><li><div>
Consistently write production-ready code that is easily testable, easily understood by other developers, and accounts for edge cases and errors. Use systematic debugging to diagnose all issues located to a single service as well as cross service issues. Approach all engineering work with a security lens. Actively look for security vulnerabilities in the code and when providing peer reviews. - (10%)</div></li><li><div>
Provide technical leadership and guidance to junior team members, fostering a collaborative environment for continuous learning and innovation. Translate complex technical subjects for diverse audiences, ensuring alignment and understanding across technical and non-technical stakeholders. - (5%)</div></li></ul><div><br>
Minimum Qualifications</div><ul><li><div>
Bachelor&rsquo;s Degree in computer science or engineering; or equivalent technical training and experience.</div></li><li><div>
5+ years of experience building and deploying large-scale data processing pipelines.</div></li><li><div>
5+ years of experience with AWS, Spark with Python/Scala, SQL with Redshift, Postgre SQL and Columnar Databases</div></li><li><div>
5+ years of experience with Workflow &amp; pipeline systems with Airflow.</div></li></ul><div><br>
Preferred Qualifications</div><ul><li><div>
Master&rsquo;s Degree in computer science, computer engineering, IT or another related field of study.</div></li><li><div>
8+ years of experience in Data &amp; Analytics</div></li><li><div>
Experience with message-based, loosely coupled architectures (e.g. Kafka).</div></li><li><div>
Experience developing systems intended for cloud deployments (AWS, EKS, lambda&rsquo;s, etc.). DevOps experience. Experience with analytics platforms like Looker or Tableau.</div></li></ul><div><br>
Skills</div><ul><li><div>
Structured Query Language (SQL)</div></li><li><div>
Azure</div></li><li><div>
Databricks</div></li><li><div>
Terraform</div></li><li><div>
Powershell</div></li><li><div>
Orchestration tools</div></li><li><div>
Spark SQL</div></li><li><div>
Scala (Programming Language)</div></li><li><div>
Python (Programming Language)</div></li><li><div>
PySpark</div></li><li><div>
NoSQL</div></li><li><div>
Linux Shell Scripting</div></li><li><div>
HBase</div></li><li><div>
Cloudera Impala</div></li><li><div>
Cloudera Data Platform (CDP)</div></li><li><div>
Big Data</div></li><li><div>
Apache Hadoop</div></li></ul><div><br>
Reports To: Manager and above<br>
<br>
Direct Reports: 0<br>
<br>
Work Environment</div><ul><li><div>
Normal office environment, hybrid.</div></li></ul><div></div><div>
Other Duties</div><div></div><div>
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.</div><div></div><div><div>
About Bread Financial</div></div><div></div><div><div>
At Bread Financial, you&rsquo;ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We&rsquo;ve been consistently recognized as a best place to work nationally and in many markets and we&rsquo;re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled&mdash;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.</div><div></div><div><div>
Bread Financial&reg;</div> (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel &amp; entertainment, health &amp; beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers.</div><div></div><div>
To learn more about Bread Financial, our global associates and our sustainability commitments, visit <div>breadfinancial.com</div> or follow us on <div>Instagram</div> and <div>LinkedIn</div>.</div></div><ul><li><div>
All job offers are contingent upon successful completion of credit and background checks.</div></li><li><div>
Bread Financial is an Equal Opportunity Employer.</div></li></ul><div></div><div>
Job Family:</div><div></div>
Information Technology<div></div><div>
Job Type:</div><div></div>
Regular</div><div></div>

Senior Data Engineer Admin

<div><div>Every career journey is personal. That's why we empower you with the tools and support to create your own success story.</div><div></div><div>
Be challenged. Be heard. Be valued. Be you ... be here.</div><div></div><div>
Job Summary</div>
EDW provides a single source of enterprise data for enterprise reporting and analytics. The vision of the EDW department is to leverage our skills in data acquisition and management, data architecture and design, data quality and business intelligence to deliver a single version of the truth.<br>
<br>
The Production Support Analyst executes and monitors business data processing jobs including data warehouse, customer file transmissions, shift-to-shift turnover communications. They are trusted and depended on to handle remediation procedures for failures, delays, and other interruptions to service and to escalate as needed. The Production Support Analyst works on different projects of data engineering to support the use cases, data ingestion pipeline and identify potential process or data quality issues. The team brings together data from different internal &amp; external partners, making it available to the operations area.<div></div><div><br>
Essential Job Functions:</div><ul><li><div>
Provides setup and testing of production job execution, automation and scheduling for business critical areas including daily client file transfers and EDW production batch.</div></li><li><div>
Monitors completion and distribution of enterprise-wide reporting and analytics in a 24/7/365 environment. Manages and monitors assigned Change Control tickets and trouble tickets.</div></li><li><div>
Monitors and reacts to alerts for hundreds of data ingestions across 58 business areas.</div></li><li><div>
Coordinates with Windows and Unix teams preparing for patching across multiple servers.</div></li><li><div>
Recommends and/or implements process Improvement &ndash; regarding the access, extract, and transform of data from a variety of sources of all sizes and provides automation around data centric needs using for efficiency improvement.</div></li><li><div>
Supports the project teams in new analytical proof of concepts and tool exploration projects; to deliver on time/correctly on concurrent projects; may be POCs to ingest and process data.</div></li><li><div>
Collaborate with internal/external stakeholders to manage data logistics &ndash; including data specifications, transfers, structures, and rules; and collaborates with business users, business analysts and technical teams.</div></li><li><div>
Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team.</div></li><li><div>
Data - Answer and trouble shoot questions about data sets and tools; ingest data from files, streams and databases then process the data with &lt;TOOLS&gt; in order to store data to yellowbrick database. Manage data coming from different sources and involved in maintenance and loading of structured and unstructured data.</div></li></ul><div></div><div>
Reports to: Manager</div><div></div><div>
Working Conditions/ Physical Requirements: Normal office environment</div><div></div><div>
Direct Reports: 0</div><div></div><div>
Minimum Qualifications:</div><ul><li><div>
Bachelor&rsquo;s Degree in Computer Science or Engineering,</div></li><li><div>
2- to 3 years in technology</div></li><li><div>
Experience with most basic Linux commands/Unix experience as well, as the will be working closely with development team</div></li><li><div>
Technical Skills - Expert in writing complicated SQL Queries and database analysis for good performance. Experience in AIX, YB, Informatica.</div></li></ul><div></div><div>
Preferred Qualifications:</div><ul><li><div>
Working knowledge of IBM's Tivoli Workload Scheduler, or similar job scheduling tool (e.g. Control-M) - TWS strongly preferred</div></li><li><div>
Cloud Environment, preferred but not essential</div></li></ul><div></div><div>
Other Duties</div><div></div><div>
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.</div><div></div><div><div>
About Bread Financial</div></div><div></div><div><div>
At Bread Financial, you&rsquo;ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We&rsquo;ve been consistently recognized as a best place to work nationally and in many markets and we&rsquo;re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled&mdash;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.</div><div></div><div><div>
Bread Financial&reg;</div> (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel &amp; entertainment, health &amp; beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers.</div><div></div><div>
To learn more about Bread Financial, our global associates and our sustainability commitments, visit <div>breadfinancial.com</div> or follow us on <div>Instagram</div> and <div>LinkedIn</div>.</div></div><ul><li><div>
All job offers are contingent upon successful completion of credit and background checks.</div></li><li><div>
Bread Financial is an Equal Opportunity Employer.</div></li></ul><div></div><div>
Job Family:</div><div></div>
Information Technology<div></div><div>
Job Type:</div><div></div>
Regular</div><div></div>

Production Support Analyst 2

<div><div>Every career journey is personal. That's why we empower you with the tools and support to create your own success story.</div><div></div><div>
Be challenged. Be heard. Be valued. Be you ... be here.</div><div></div><div>
Job Summary</div>
The Manager, Data Engineering plays a pivotal role in leading and overseeing a team of Data Engineers to ensure the efficient collection, storage, and analysis of large-scale data. This position involves strategic planning, execution, and maintenance of data infrastructure to support business objectives. Key responsibilities include managing project timelines, ensuring data pipeline reliability, and optimizing data systems for performance and scalability. The ideal candidate has extensive experience in data engineering, proficiency in relevant technologies, and a proven track record in team management and mentoring. This role is critical in driving data-driven decision-making and innovation across the enterprise.<div></div><div><br>
Essential Job Functions</div><ul><li><div>
Set business area priorities, allocate resources and develop plans for multiple related teams. Provide day-to-day work management, technical guidance, strategic direction, problem resolution, and career path development for Data Engineering team. - (20%)</div></li><li><div>
Responsible for the framework development and execution of DataOps best practices. Accountable for the overall management of analytics projects; including timeliness, quality, and client value. - (15%)</div></li><li><div>
Co-lead development and execution of highly complex and large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs. Design complex, production systems and creates custom packages using multiple programming languages to solve challenging data engineering problems. - (20%)</div></li><li><div>
Act as thought leader to provide expert technical consultation to senior IT management strategic planning groups. Mentor and manage a team of Data engineers &amp; BI developers, develop a robust foundational layer of talent for the CoE. - (15%)</div></li><li><div>
Work cross-functionally to develop effective communication and training vehicles for other IT and business teams on platform services and roadmaps, and elevate line function skills-sets in adeptly executing advanced analytics using central ways of working and tools. - (10%)</div></li><li><div>
Ensure data security and compliance with relevant regulations (e.g., GDPR, CCPA) and internal policies. Develop and implement data security measures to protect sensitive information. Identify potential risks in data engineering processes and develop strategies to mitigate them, ensuring continuity and reliability of data services. - (20%)</div></li></ul><div><br>
Minimum Qualifications</div><ul><li><div>
Bachelor&rsquo;s Degree in Computer Science, Mathematics, related technical field or equivalent practical experience.</div></li><li><div>
7+ years of experience in modern data engineering technologies</div></li><li><div>
3+ years of experience leading teams of people in a professional setting.</div></li><li><div>
Experience working data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.</div></li><li><div>
Expert experience implementing complex, enterprise-wide data transformation and processing solutions.</div></li></ul><div><br>
Preferred Qualifications</div><ul><li><div>
Master&rsquo;s Degree in Computer Science, Mathematics, related technical field or equivalent practical experience.</div></li><li><div>
Hands on experience in Apache Hadoop Ecosystem like HDFS, MapReduce, Hive, HBase, Sqoop, Oozie, Spark and BigData Analytics. Certifications in technologies is preferred.</div></li></ul><div><br>
Skills</div><ul><li><div>
People Management</div></li><li><div>
Structured Query Language (SQL)</div></li><li><div>
Solutions Design</div></li><li><div>
Python (Programming Language)</div></li><li><div>
Platform Technologies</div></li><li><div>
Hadoop Distributed File System (HDFS)</div></li><li><div>
Documentations</div></li><li><div>
Data Engineering</div></li><li><div>
Data Analysis</div></li><li><div>
Cloudera Data Platform (CDP)</div></li><li><div>
Apache Hadoop</div></li><li><div>
Agile Methodology</div></li></ul><div><br>
Reports To: Senior Manager and above<br>
<br>
Direct Reports: 11 - 15<br>
<br>
Work Environment</div><ul><li><div>
Normal office environment, hybrid.</div></li></ul><div><br>
Travel</div><ul><li><div>
Ability to travel up to 20% annually</div></li></ul><div></div><div>
Other Duties</div><div></div><div>
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.</div><div></div><div><div>
About Bread Financial</div></div><div></div><div><div>
At Bread Financial, you&rsquo;ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We&rsquo;ve been consistently recognized as a best place to work nationally and in many markets and we&rsquo;re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled&mdash;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.</div><div></div><div><div>
Bread Financial&reg;</div> (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel &amp; entertainment, health &amp; beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers.</div><div></div><div>
To learn more about Bread Financial, our global associates and our sustainability commitments, visit <div>breadfinancial.com</div> or follow us on <div>Instagram</div> and <div>LinkedIn</div>.</div></div><ul><li><div>
All job offers are contingent upon successful completion of credit and background checks.</div></li><li><div>
Bread Financial is an Equal Opportunity Employer.</div></li></ul><div></div><div>
Job Family:</div><div></div>
Information Technology<div></div><div>
Job Type:</div><div></div>
Regular</div><div></div>

Manager Data Engineering

Join Bread Financial and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Bread Financial

ABOUT_COMPANY

Senior Data Engineer Admin

Production Support Analyst 2

Manager Data Engineering