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The Data Engineer 1 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 also 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.Essential Job Functions
Collaboration-Collaborateswith internal/external stakeholders to manage datalogistics including data specifications transfers structures and rules.Collaborateswith 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.Demonstratesanalyticalinterpersonalandprofessionalcommunication skills. Learns quickly and works effectively individuallyand as part of a team.
Process Improvement-Accessextractandtransform Credit and Retail data from a variety of sources of all sizes (including client marketing databases2ndand 3rdparty data) using Hadoop Spark SQL Big data technologies etc.Providesautomation help to analytical teams around data centric needs using orchestration toolsSQLandpossibly otherbig data/cloud solutions for efficiency improvement.
Project Support-Support Sr. Specialist and Specialist in new analytical proof of concepts and tool exploration projects.Effectively manage time and resourcesin order todeliver on time/correctly on concurrent projects.Involved in creating POCs to ingest and process streaming data using Spark and HDFS.
Data and Analytics-Answer and trouble shoot questions about data sets and analytical tools; Developmaintainand enhance new and existing analytics tools to support internal customers.Ingest data from files streams and databasesthenprocess the data with Python andPysparkin order tostore data to Hive or NoSQL database.Manage data coming fromdifferent sourcesand involved in HDFS maintenance and loading of structured and unstructured data.Apply knowledge in AgileScrummethodologythatleveragesthe Client Bigdata platform and used version control tool Git. Importandexportdata using Sqoop from HDFS to RDBMS and vice-versa.Demonstrate anunderstanding of Hadoop Architecture and underlying Hadoop framework including Storage Management.Create POCs to ingest and process streaming data using Spark and HDFS. Work on back-end using Scala Python and Spark to perform severalaggregationlogics
Technical Skills-Expert in writing complicated SQL Queries and database analysis forgood performance.Experience in working on Microsoft Azure Services like ADLS/Blob Storage solutions AzureDataFactory Azure Functions and Databricks.Utilize basic knowledge of RestAPIfor designing networked applications
Reports to:Data Engineer Lead or higher
Working Conditions/ Physical Requirements:Normal office environment
Direct Reports:0
Minimum Qualifications:
Bachelors Degreein Computer Science or Engineering
0to3yearsin Data & Analytics
Other Duties
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 youll have the opportunity to grow your career give back to your community and be part of our award-winning culture. Weve been consistently recognized as a best place to work nationally and in many markets and were proud to promote an environment where you feel appreciated accepted valued and fulfilledboth 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.
To learn more about Bread Financial our global associates and our sustainability commitments visit or follow us on Instagram and LinkedIn.
All job offers are contingent upon successful completion of credit and background checks.
Bread Financial is an Equal Opportunity Employer.
Job Family:
Data and AnalyticsJob Type:
RegularFull-Time