Data Engineer( Python + AWS) - Jersey City - ref. r1138415
Computer Data Concepts Inc Jersey City
Job Title: Data Engineer( Python + AWS)
Location : Jersey City Local
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 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
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
Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
Location : Jersey City Local
Salary:$100K-125K
Job responsibilitiesExecutes 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 systemsProduces 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 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
Required qualifications, capabilities, and skillsFormal 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 languagesExperience 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
msysincManhattan (NY), 3 mi from Jersey City
Title: Data Engineer - In-person- interview - Locals to NY/NJ - Hybrid
Location: New York City, NY, USA
Length: Long term
Restriction: W2 or C2C
Description:
In Person interview *** Long term project *** *** Hybrid *** Onsite work 3 days/week
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of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. These tools are leveraged by analysts, traders and engineers to power our downstream investment teams' processes...