Posted on Sep 28, 2021 by Discover Financial Services
The Enterprise Data Management team at Discover is looking for a Data Engineer.
In this role, you will have the opportunity to collaborate in developing data driven solutions with current and next generation technologies to meet evolving business needs.
You will be giving opportunity to provide technical design and develop Extract/Transform/Load (ETL) applications that interface with all key Discover applications.
Knowledge of data warehousing concepts, SQL, Java or Python and experience with or a willingness to learn ETL tools (such as Ab Initio) are a must. Hands on experience with AWS/cloud technologies is a plus, as we evolve our technological needs into the future technological landscape.
Designs and develops data ingestion frameworks, Real Time processing solutions, and data processing and transformation frameworks.
Deploys application codes and analytical models. Provides support for deployed data applications and analytical models.
Provide business analysis and develop ETL code and Scripting to meet all technical specifications and business requirements according to the established designs.
Develop Real Time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python and AWS-based solutions.
Work heavily within the Cloud ecosystem and migrate data from Teradata to AWS-based platform.
Utilize multiple development languages/tools such as Python, SPARK, Hive, Java to build prototypes and evaluate results for effectiveness and feasibility.
Develop data driven solutions utilizing current and next generation technologies to meet evolving business needs.
Provides senior level technical consulting to peer data engineers during design and development for highly complex and critical data projects
Develop application systems that comply with the standard system development methodology and concepts for design, programming, backup, and recovery to deliver solutions that have superior performance and integrity.
Contribute to determining programming approach, tools, and techniques that best meet the business requirements.
Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
Offer system support as part of a support rotation with other team members.
Operationalize open source data-analytic tools for enterprise use.
Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification.
Understand and follow the company development lifecycle to develop, deploy and deliver the solutions.
Bachelor's Degree in Information Technology, or related
In lieu of a degree, 1 year or less; Data Platform Administration/Engineering, or related experience
1+ years of experience in Data Platform Administration/Engineering
Knowledge and experience using query languages (SQL, Cypher) for relational and graph databases
Willingness to continuously learn & share learnings with others
Capable of collaborating with stakeholders and project leaders to understand requirements, deliverables, and set expectations on tasks that you will be responsible for.
Ability to work in a fast-paced, rapidly changing environment is a must.
Experience working in an agile and collaborative team environment
Excellent written and verbal communication, presentation and professional speaking skills.
Passionate learner who enjoys education through class room training and self-discovery on a variety of emerging technologies.
Hands-on experience with Amazon Web Services (AWS) based solutions such as Lambda, Dynamodb, Snowflake and S3
Experience in migrating ETL processes (not just data) from relational warehouse databases to AWS based solutions
Knowledge of data warehouse technologies (Linux/Unix/Teradata/Ab Initio)
Experience within the financial industry
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