Data Engineer

Job not on LinkedIn

🕒 April 1

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Zensark

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded over a decade of experience

🤖 Artificial Intelligence

💳 Fintech

Artificial Intelligence • Fintech • HealthTech

Zensark is a dynamic AI startup dedicated to transforming industries through innovative AI solutions. Specializing in the healthtech and fintech sectors, Zensark leverages AI to enhance business productivity and customer value. As a Microsoft Silver Partner, Zensark also excels in providing customized solutions for Microsoft Dynamics 365, including finance and operations management. The company aims to disrupt the status quo by offering end-to-end product development services, IT staffing, and digital transformation consultancy. With a focus on customer-centric services, Zensark builds strong partnerships to help enterprises capitalize on AI-powered technological advancements.

📋 Description

• Responsible for expanding and optimizing our data and data pipeline architecture • Support our software developers, database architects, data analysts and data scientists on data initiatives • 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 • Build the infrastructure required for optimal extraction, transformation, and loading of data • Build analytics tools that utilize the data pipeline • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues • Create data tools for analytics and data scientist team members

🎯 Requirements

• 5+ years of experience in a Data Engineer role • Experience with relational SQL and NoSQL databases, including Postgres, Oracle and Cassandra. • Experience with data pipeline and workflow management tools. • Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift. • Experience with stream-processing systems: Storm, Spark-Streaming, Amazon Kinesis, etc. • Experience with object-oriented/object function scripting languages: Python, Java, NodeJs. • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. • Strong analytic skills related to working with both structured and unstructured datasets. • A successful history of manipulating, processing and extracting value from large disconnected datasets. • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. • Strong project management and organizational skills.

🏖️ Benefits

• Remote work options • Equal Opportunity Employer - Minority/Female/Disability/Veteran/Current Unemployment Status