Associate - Full Time (On-site)

Job Description

In this full time role, you will work with members of the Data SEA team to design, develop and deploy high-quality data solutions and data infrastructure that will drive value for our clients.

Responsibilities will include

• Directly engage with clients to lead the implementation of analytics solutions, ensuring a successful user experience.

• Assist in the design and development of data architecture to optimize data flow, storage, and accessibility, meeting business needs and improving decision-making processes.

• Construct robust Data Pipelines to efficiently transfer data from source systems to a centralized Data Lakehouse, utilizing best practices in Data Engineering and implementing a medallion architecture

• Oversee the training, deployment, and monitoring of Machine Learning models, ensuring they provide accurate and timely predictions

• Help in establishing and managing data governance policies to maintain data integrity, quality, and security, while ensuring compliance with data access and usage regulations

• Create data visualizations and analyses by merging various data sets to present key insights through different reporting techniques

• Dive into clients' data and develop strategic plans to maximize value for clients, balancing hands-on work with big-picture thinking

• Innovate by prototyping new frameworks and technologies, enabling Data SEA to rapidly equip its clients with state-of-the-art infrastructure

Qualifications

Should Have

• A background in computer science and/or relevant work experience in the field of Data Analytics, Data Engineering and/or Data Science

• Ability to pick up new technologies with ease

• A strong SQL knowledge and experience working with relational databases

• Experience with object-oriented & functional scripting languages such as Python

• A history of manipulating, processing, and extracting value from large, disconnected datasets

• A natural curiosity about how to improve systems and processes

• A keen interest in learning about our clients' businesses and a passion for finding the right solutions

• Strong oral and written communication skills

• Experience working with Power BI, Tableau, and/or Looker

Nice to Have

• Experience with Databricks

• Experience working on AWS, Azure, and/or Google Cloud infrastructure

• Experience working in a Dev, UAT and Prod configuration when writing and deploying code

• Experience in applying Data Engineering best practices to create robust data pipelines and implement a medallion architecture for efficient data storage and retrieval.

• A solid understanding of Data Architecture best practices, including data modeling techniques, design principles for data warehousing and lakes, and strategies for data integration and lifecycle management to build robust and scalable data ecosystems.

• Knowledge and experience in implementing Data Governance best practices, including developing and enforcing data policies, standards, and procedures to ensure data accuracy, consistency, and security, while promoting compliant data usage and management.

• Proficiency in Machine Learning best practices, including approaches to training, deploying, tuning, and monitoring Machine Learning models for optimal performance and accuracy.

What You Can Expect from Us

At Data SEA Consulting, we are passionate about finding the right people, investing in their growth, and empowering them to tackle the complex analytical challenges our clients face. As a boutique firm, we offer extensive hands-on coaching, mentorship, and direct exposure to a variety of industries and clients. Our Associates work on multiple engagements, gaining invaluable real-world experience while rapidly developing both their technical expertise and consulting skills in a dynamic, fast-paced environment. If you're looking for a place where you can learn, grow, and make an impact, Data SEA is the perfect place to start.