Associate Data Engineer - Big Data Solutions for Machine Learning and Artificial Intelligence - Remote Work Opportunity

Join the Workwarp Team as an Associate Data Engineer and Revolutionize Big Data Solutions!

Workwarp is a pioneering company that is transforming the way businesses approach data engineering and analytics. We are seeking an experienced Associate Data Engineer to join our team of experts in developing innovative data solutions that drive business growth. As an Associate Data Engineer, you will play a critical role in designing, building, and maintaining large-scale data systems that support machine learning and statistical models. If you are passionate about working with big data technologies and have a strong desire to learn and grow, we encourage you to apply for this exciting opportunity.

About the Role

As an Associate Data Engineer at Workwarp, you will report to the Manager of Data Services and work closely with our team of senior data engineers to develop and implement data engineering solutions. Your primary responsibilities will include building massive reservoirs for big data, optimizing performance, and supporting data science projects. You will also assist with research and building proof of concepts to test out theories recommended by senior team members.

Key Responsibilities:

• Develop Scalable Data Solutions: Design, build, test, and maintain large-scale data systems that support reporting, analytics, machine learning, and artificial intelligence.
• Ingest, Process, and Store Massive Data: Build processes to ingest, process, and store massive amounts of structured and unstructured data.
• Optimize Big Data Ecosystems: Assist with optimizing the performance of big data ecosystems and wrangle data in support of data science projects.
• Support Data Science Projects: Perform productionization of machine learning and statistical models for data scientists and statisticians.
• Collaborate with Senior Team Members: Assist with research and building proof of concepts to test out theories recommended by senior and lead data engineers.
• Ensure Quality and Alignment: Gain a thorough understanding of customer requirements and ensure that work products align with these requirements.
• Adhere to Development Guidelines: Work within established development guidelines, standards, methodologies, and naming conventions.

Requirements and Qualifications

Essential Qualifications:

• Bachelor of Science Degree: A bachelor's degree in a related field (e.g., computer science, information technology) or working towards it.
• Design and Development Experience: A minimum of 3 years of design and development experience.

Preferred Experience, Skills, and Knowledge:

• CRISP-DM Methodology: Knowledge of CRISP-DM methodology relevant to data engineering, including data preparation and deployment.
• Big Data Technologies: Knowledge of big data technologies, concepts, and their applications for data processing.
• Business Intelligence and Data Warehousing: Advanced knowledge of business intelligence and data warehousing.
• Machine Learning and Artificial Intelligence: Fundamentals of machine learning and artificial intelligence using Microsoft technologies.
• Performance Tuning and Code Optimization: Performance tuning and code optimization in SQL.
• Data Profiling and Dimension Modeling: Data profiling and dimension modeling techniques and creation of logical and physical data models.
• Job Scheduling Tools: Experience working with job scheduling tools.
• Programming Languages: Experience with SQL, Python, Linux Shell Scripting or MS Power Shell, Spark, NoSQL.
• Cloud Service Models: Experience with cloud service models: PaaS, IaaS, SaaS, and any cloud vendor (Azure/GCP/AWS).
• Communication Skills: Strong communication skills with the ability to explain complex topics in a simple and understandable way to non-technical audiences.

What We Offer

Career Growth Opportunities:

At Workwarp, we believe in fostering a culture of learning and growth. As an Associate Data Engineer, you will have opportunities to develop new skills, work on challenging projects, and collaborate with experienced professionals.

Learning Benefits:

• Training and Development: Access to training programs and workshops to enhance your technical skills.
• Mentorship: Guidance and support from experienced professionals in the field.
• Career Advancement: Opportunities for career advancement and growth within the company.

Work Environment and Culture:

We offer a remote work opportunity with a flexible schedule, allowing you to work from anywhere and maintain a healthy work-life balance. Our company culture values collaboration, innovation, and teamwork.

Compensation and Benefits:

We offer a competitive salary and a comprehensive benefits package, including:

• Competitive Salary: A competitive salary range for this role.
• Health Insurance: Comprehensive health insurance coverage.
• Retirement Plan: A retirement plan with company match.
• Paid Time Off: Paid time off for vacation, sick leave, and holidays.

How to Apply

If you are passionate about data engineering and have the skills and experience we are looking for, please submit your application today. We look forward to hearing from you!

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