Data Engineer - Manhattan, New York

Company: Sharpedge Solutions Inc
Your Application: You have not applied yet
Location: Manhattan, New York, USA
JOB DESCRIPTION

 

JD:

Role and Responsibilities 

Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal Data ETL from a wide variety of data sources using SQL and AWS technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems.

 

Qualifications

Advanced working SQL experience; query authoring and tuning with a variety of databases. Experience building and optimizing reliable data pipelines, data architectures and composing data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from various disparate datasets, to make them interoperable Working knowledge of message queuing,
stream processing, and data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. 5+ years of experience in a Data Engineering role, with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

 

Tools qualifications:

Experience with relational SQL and NoSQL databases Experience with data pipeline and workflow management tools. Preferred experience with AWS cloud services Preferred experience with object-oriented and function scripting languages: Java, Scala, Python or similar.

Pls share profiles for the mentioned onsite demands:

 

      Skills Rating (10) Candidate write up Relational SQL and NoSQL databases     Data pipeline and workflow management tools.     Advanced working SQL experience; query authoring and tuning with a variety of databases.     Experience building and optimizing reliable data pipelines, data architectures and composing data sets.     Build the infrastructure required for optimal Data ETL from a wide variety of data sources using SQL and AWS technologies.     Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.     Java, Scala, Python or similar    




JOB TYPE
Work Day: Full Time
Employment type: Permanent Job
Salary: Negotiable


JOB REQUIREMENTS
Minimal experience: No experience



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