66degrees
AI transformation
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at 66degrees. Skills: AWS, Data Engineering, Data Modeling, Cloud Architecture. Lead data management and engineering projects within AWS environments. Migrate, analyze, and manage data structures”
What You'll Achieve.
quantifiable outcomes; strategic asset; engine for growth; catalyst for a future where every business operates as an intelligent enterprise; autonomous systems unlocking human potential; successful project completion
Industry & Context.
problem-solving skills; analytical skills; troubleshooting skills
What They're Looking For.
Must Have
5+ years of experience in data engineering, cloud architecture, or data infrastructure, 3+ years of experience working with AWS, Experience with AWS managed data services, Experience with relational databases, legacy database/application migration, and cloud-based databases (BigQuery, Snowflake), Proven ability to develop logical data models, ETL/ELT processes, and related documentation, Mastery of data modeling concepts, large-scale database implementations, and design patterns, Experience working with structured, semi-structured, and unstructured data sources, analytical, problem-solving, and troubleshooting skills, Excellent written and oral communication skills, Hands on experience with Python, GIT, Infrastructure as Code experience (Terraform, Ansible, etc.)
Nice to Have
Experience with Deploying a Data Governance Program is a plus
What You'll Do.
Lead data management and engineering projects within AWS environments
and manage data structures
and implement AWS data solutions
Guide customers on data handling on AWS
Translate business requirements into GCP solutions
Support data acquisition
Design and implement data pipelines
Work closely with GCP Security Team
Liaise with clients to gather requirements
Conduct client workshops
Develop logical data models and schemas
Demonstrate expertise in data modeling
Demonstrate expertise in database design
Demonstrate expertise in cloud architecture
Demonstrate expertise in data infrastructure management
How You'll Work.
Team & Collaboration
Collaborate with technical and business leads; Partner with data scientists, software engineers, and other stakeholders; Work closely with the AWS Security Team; Work closely with the GCP Security Team; Liaise with clients
Communication Scope
Excellent written and oral communication skills
Process & Methodology
project completion
Full Job Description
Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role 66degrees is looking for smart, energetic, and personable technology business professionals for a Data Engineer position. As a Cloud Data Engineer you will be a part of data management and engineering projects within AWS environments, including migrating, analyzing, and managing data structures within AWS. Assist in the design, definition, development, and testing of AWS data solution components. Capable of quickly adapting and building plans around migrating data from legacy applications, you will work closely with the AWS Security Team and other SME roles to ensure datastores are protected. Responsibilities: Lead data management and engineering projects within AWS environments, including migrating, analyzing, and managing data structures, as well as designing, developing, testing, and implementing AWS data solutions. Good experience in Snowflake Guide customers on all aspects of data handling on AWS, including ingestion, storage, processing,
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