Job Location: Hoboken, NJ
Hoboken, NJ 07030
This is a 6 Month Contract – NO C2C.
This is a Contract 2 Hire position and Hybrid Work Model with 2-3 days onsite.
Include your Interview Availability at the top of your resume underneath your name and contact details.
Must be a US Citizen or Green Card holder.
Description
Supports teams to provide estimates on the complexity of the delivery/integration process, as well as provide support during development/stabilization activities.
Defines and implements solution for Data Analytics to meet business needs including data integration & pipeline needs and interfaces.
Develops Data acquisition processes
Prepares data for consumption by BI and ML/AI
Uses data to discover tasks that can be automated
Translates business requirements in to Data Science solutions leveraging strong business acumen
Demonstrates expertise in three core pillars of data science tool kit – Data Modeling & Transformation, Data Storytelling and Data
Visualization
- Responsible for Machine Learning: builds, calibrates, and tests machine learning models
- Responsible for Transformation: feature creation, data cleansing and re-expression
- Responsible for Visualization: exploratory data analysis, intuitive presentation of findings
- Duties include Data Science storytelling in Power BI, PowerPoint and other platforms
Deploys standard data mining protocol to be sure all subsequent analytics, modeling, A.I., and machine learning algorithms operate on unbiased and relevant data
Adequately deploys a strategy for models and analytics and operationalize them to applications and data lake/warehouse
Maintains health and procedures of active machine learning models for continued success
Collaborating with Azure Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
Fosters collaboration between DevOps and data science teams within organization to build ML Ops practices
Leads the team of data engineers and data visualization experts
Oversees detail technical design of solutions working collaboratively with development leads, Architecture teams & development/implementation of solutions on Data Engineering/Analysis.
Develop initial guidelines and support structures to ensure the service and assets are properly managed and maintained
Collaborating with Team members in developing applicable methodologies, tools, approaches, point of view, thought leadership and accelerators to differentiate EY in the Digital & Emerging Technology Advisory Market
Develop reusable assets such as prototypes, solutions, documentation and other materials that can help grow the practice
Design & build API & data integrations between the various applications in the Platform utilizing modern cloud-based stack like Azure Service Bus, Azure Functions and Azure Data Factory.
Qualification
Bachelors or master’s degree in Computer Science or related field or have relevant experience.
5-10 years of relevant experience as a Senior Data Engineer with experience with data models, data mining, and segmentation techniques
5-10 years of relevant experience in Python, Spark, SQL, Java and Javascript/Powershell
5 -10 years of Deep understanding on Data Analysis, schema design and dimensional data modelling, Data lake/Data Bricks technology is a big plus
2+ years of Hands-on experience developing Data Pipelines (ideally loading Databases using ETL approaches) using SQL & no SQL data sources and Enterprise data pipeline tools like Azure Data factory, Data Bricks or similar technologies.
3+ Years of experience in understanding of Data import/export approaches, tooling, and data quality issues.
2+ years of experience on cloud platforms (AWS, Azure, or GCP)
5+ years’ experience with latest Microsoft software delivery and collaboration stack (Visual Studio / Azure DevOps, SharePoint, Teams, Office 365, etc.)
7 years of Experience working in an Agile environment to facilitate the quick and effective fulfilment of group goals
Knowledge of various industry-leading NoSQL database systems
Should be able to establish and maintain good internal relationships, work as part of a team and for presentations and discussions
Analytical skills to be demonstrated through academic experience or work assignments
Ability to prioritize workload according to volume, urgency, etc. and to deliver on required projects in a timely fashion
Passion for learning & immersing in other technology stack like Python, Spark etc. to be part of versatile Development team
Communication skills demonstrated by winning stakeholders and communicating with team members
Multitask experience against multiple work streams following an End-to-End workflow process
Requirements
- Bachelors or master’s degree in Computer Science or related field or have relevant experience
- 5-10 years of experience as a Senior Data Engineer in data models, data mining, and segmentation techniques.
- 5-10 years of experience in Python, Spark, SQL, Java and Javascript/Powershell
- 5 -10 years of Deep understanding on Data Analysis, schema design and dimensional data modelling, Data Lake/Data Bricks technology is a big plus
- 2+ years of Hands-on experience developing Data Pipelines (ideally loading Databases using ETL approaches) using SQL & no SQL data sources and Enterprise data pipeline tools like Azure Data factory, Data Bricks, or similar technologies.
- 3+ Years of experience in understanding of Data import/export approaches, tooling, and data quality issues.
- 2+ years of experience on cloud platforms (AWS, Azure, or GCP)
- 5+ years’ experience with latest Microsoft software delivery and collaboration stack (Visual Studio / Azure DevOps, SharePoint, Teams, Office 365, etc.)
- 7 years of Experience working in an Agile environment to facilitate the quick and effective fulfilment of group goals
- Must be a US Citizen or Green Card holder.
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