Overview
On Site
Full Time
Skills
Credit cards
Problem solving
IMPACT
Software design
Algorithms
Accountability
Reporting
Continuous improvement
Data collection
Storage
Analytics
Recovery
Archiving
Strategy
Systems architecture
Emerging technologies
Training
Software engineering
SQL
MySQL
Oracle
Oracle Db
Java
Python
Debugging
Programming languages
Database
Extract
transform
load
Electronic Health Record (EHR)
Amazon S3
Amazon Kinesis
Step-Functions
Apache Parquet
Apache Avro
JSON
Amazon Web Services
Data security
Encryption
KMS
Data Analysis
Cloud computing
Artificial intelligence
Machine Learning (ML)
Software development
Agile
Continuous integration
Continuous delivery
Snow flake schema
Financial services
Data Lake
Design
Data
Affinity propagation
Job Details
Job Description:
As a Software Engineer - Card Data Technology within the Consumer and Community Bank - Credit Card Technology Team, you serve as an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives You will also leverage your deep technical expertise and problem-solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.
Job responsibilities
Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Defines database back-up, recovery, and archiving strategy
Design and develop data pipelines to ingest, store, and process data from multiple sources
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect
Requirement:
Required qualifications, capabilities, and skills
Formal training or certification in software engineering concepts and 3+ years applied experience
Experience with AWS cloud technologies, including S3
Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
Proficient in coding in one or more languages; Java or Python
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Cloud implementation experience with AWS including:
o AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge
o Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD
o AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager
Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Proficiency in automation and continuous delivery methods.
Proficient in all aspects of the Software Development Life Cycle.
Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Preferred qualifications, capabilities, and skills
Snowflake knowledge or experience preferred
In-depth knowledge of the financial services industry and their IT systems
Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP
As a Software Engineer - Card Data Technology within the Consumer and Community Bank - Credit Card Technology Team, you serve as an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives You will also leverage your deep technical expertise and problem-solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.
Job responsibilities
Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Defines database back-up, recovery, and archiving strategy
Design and develop data pipelines to ingest, store, and process data from multiple sources
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Adds to team culture of diversity, equity, inclusion, and respect
Requirement:
Required qualifications, capabilities, and skills
Formal training or certification in software engineering concepts and 3+ years applied experience
Experience with AWS cloud technologies, including S3
Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
Proficient in coding in one or more languages; Java or Python
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Cloud implementation experience with AWS including:
o AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge
o Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD
o AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager
Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Proficiency in automation and continuous delivery methods.
Proficient in all aspects of the Software Development Life Cycle.
Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Preferred qualifications, capabilities, and skills
Snowflake knowledge or experience preferred
In-depth knowledge of the financial services industry and their IT systems
Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP
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