Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity, equity, inclusion, and respect
Provides system administration support of Salesforce environment, especially related to customized applications, user permissions, security settings, custom objects and workflow
Required qualifications, capabilities, and skills
Formal training or certification on data engineering concepts and 8+ years of applied experience
Advanced in one or more programming language(s), such as Java, Python
Hands-on practical experience delivering data pipelines
Proficient in all aspects of the Software Development Life Cycle
Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Demonstrated proficiency and experience with cloud-native distributed systems
Ability to develop reports, dashboards, and processes to continuously monitor data quality and integrity
Working knowledge of bitbucket and JIRA
Preferred qualifications, capabilities, and skills
Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR
Strong experience with distributed computing frameworks such as Apache Spark, specifically PySpark
Strong hands-on experience building event driven architecture using Kafka
Experience writing Splunk or Cloudwatch queries, DataDog metrics
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and 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.
Design and develop data pipelines to ingest, store, and process data from multiple sources
Proactively identifies hidden problems, 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
Data Engineer
Required qualifications, capabilities, and skills
Formal training or certification on data engineering concepts and 3+ years of applied experience
Practical Experience in one or more programming language(s), such as Python, Java
Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
Hands-on practical experience delivering data pipelines
Proficient in all aspects of the Software Development Life Cycle
Understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
Demonstrated proficiency and experience with cloud-native distributed systems
Ability to develop reports, dashboards, and processes to continuously monitor data quality and integrity
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
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.)
Working knowledge of bitbucket and JIRA