Senior Big Data/Machine Learning Architect

Company: ICONMA
Location: Richmond, Virginia, United States
Type: Full-time
Posted: 11.AUG.2021

Summary

· Data Engineer Manager (Spark, Python, and AWS) · The Finance Technology team at Client is searching for innovative and analytical Data Eng...

Description

· Data Engineer Manager (Spark, Python, and AWS)
· The Finance Technology team at Client is searching for innovative and analytical Data Engineers to join our team. Our data engineers are multilinguists who can speak the languages of how we operate as a business, how that business impacts our financials, and the latest technologies that are reshaping our Finance Tech landscape.
· In this role, you will be responsible for building data pipelines & frameworks using open source tools on public Cloud platforms.
· The right candidate for this role is someone who is passionate about technology, interacts with product owners and technical stakeholders, thrives under pressure, and is hyper-focused on delivering exceptional results with good teamwork skills.
· You'll bring solid experience in emerging and cutting-edge technologies such as: Spark, Scala/Java/Python, Python, REST, JSON, NoSQL databases, relational databases, Jenkins/Maven, and AWS/Cloud Infrastructure to name a few.
· Provide technical guidance concerning business implications of application development projects
· Leverage ETL programming skills in open source languages including Python, Scala, and SQL on various frameworks especially Apache Spark
· Deploy DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Github, and Docker
· Experience with Cloud computing, preferably AWS and its services including S3, EMR/EC2 and Lambda functions
· Manage multiple responsibilities in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting edge technologies to accomplish your goals
· Must have a firm understanding of delivering large-scale data sets solutions and SDLC best practices

Team Info:
· Finance Tech Team - Enterprise platform
· Receives data from all different systems in a common format
· Making meaningful data in terms of general ledger for attorney reporting
· Building web services

Role Info:
· Hands on Sr. Data Engineer roles with strong
· Creating repositories, projects & data sets
Interacting with Product owners and taking the specs

Job Requirements:
Qualifications:
· Python, Spark & SQL Exp is a must
· AWS (RDS, S3 Podk) Exp is a must
· DevOps CI CD Pipelines Exp is a must
· Understanding of Data Modeling is required
· NOSQL (DynamoDB / PostgreSQL / MySQL / Cassandra) is required DynamoDB is preferred by manager
· Strong Communications and problem solving skills are must
· Bachelors degree
· At least 3 years of experience delivering data solutions using open-source languages
· At least 3 years managing people & teams
· At least 3 years of experience utilizing scripting languages
· At least 4 years of experience developing ETL solutions
· At least 4 years of experience utilizing SQL in data solutions

Nice to have:
· Java / Scala is highly preferred
· Angular.JS
· 3+ years of experience delivering data solutions using open-source languages
· 5+ years of experience utilizing SQL in complex data solutions
· 3+ years of experience utilizing scripting languages
· 5+ years of experience developing ETL solutions
· 5+ years of experience utilizing SQL in complex solutions
· 2+ years of experience developing, deploying, testing in AWS public cloud
· AWS certification

As an equal opportunity employer, ICONMA prides itself on creating an employment environment that supports and encourages the abilities of all persons regardless of race, color, gender, age, sexual orientation, citizenship, or disability.

 
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