GCP Data Engineer

Описание вакансии


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 GCP environments, including migrating, analyzing, and managing data structures within GCP. Assist in the design, definition, development, and testing of GCP data solution components. Capable of quickly adapting and building plans around migrating data from legacy applications, you will work closely with the GCP Security Team and other SME roles to ensure datastores are protected.

Responsibilities:

• Lead data management and engineering projects within GCP environments, including migrating, analyzing, and managing data structures, as well as designing, developing, testing, and implementing GCP data solutions.
• Guide customers on all aspects of data handling on GCP, including ingestion, storage, processing, analysis, and visualization.
• Collaborate with technical and business leads to translate business requirements into effective GCP solutions and implementations.
• Partner with data scientists, software engineers, and other stakeholders to support data acquisition, solution design, implementation, and ongoing maintenance.
• Design and implement data pipelines for batch, micro-batch, and real-time data streams.
• Ensure data quality by implementing data quality rules and test cases.
• Work closely with the GCP Security Team to ensure datastores are protected.
• Liaise with clients to gather requirements and ensure successful project completion.
• Conduct client workshops to identify data sources, flows, and requirements, as well as shape their future data strategy through future state architectures, roadmaps, and implementation plans.
• Develop logical data models and schemas for various business domains and industries.
• Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management.

Qualifications:

• 5+ years of experience in data engineering, cloud architecture, or data infrastructure.
• 3+ years of experience working with GCP or similar cloud platforms (Azure, AWS).
• Experience with GCP managed data services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery).
• 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.
• Strong 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.)
• Experience with Deploying a Data Governance Program is a plus.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.