Data Engineer, Managed Solutions

Overview Of 66degrees66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.At 66degrees, we believe in embracing the challenge 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 Role66degrees is looking for driven, passionate data engineering professionals who want to make an impact with their work. As a Cloud Data Engineer at 66degrees, you’ll have the opportunity to grow and apply your expertise with leading-edge cloud customers, solving a variety of challenging technology problems spanning different industries, use-cases, and tech stacks. Your work will make a huge impact on some of the largest and most advanced cloud customers out there. If you have a hunger to quickly master new technologies and solve new problems, this is for you.ResponsibilitiesLead data management and engineering projects primarily within Google Cloud, but also on AWS and Azure environments.Migrating, analyzing, and managing data structures, as well as designing, developing, testing, and implementing data solutions.Work with a global team and customer-base to ensure continuous high-performance operations for mission-critical data systems including DAGs, ETL, Airflow pipelines, EDWs, and datalakes.Deliver, optimize, and support complex data solutions for customers, including, ingestion, storage, pipelines, analysis, and visualization.Collaborate with technical and business stakeholders to advise customers and translate business requirements into effective solutions and implementations.Partner with teammates and customer data scientists, software engineers, and other stakeholders to support data acquisition, solution design, implementation, and ongoing maintenance.Ensure data quality by implementing data quality rules and test cases.Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management.Qualifications5+ years of experience in data engineering roles2+ years of experience working within GCPDeep experience with relational and non-relational databases including SQL, Mongo, and legacy databases requiredStrong experience with Python and GitStrong DBT experienceExperience with GCP BigQuery and Cloud SQL required. Dataflow, Dataproc, Spanner, AlloyDB, and other managed hyperscaler data platforms are a significant plusStrong Fivetran experience preferredApache stack experience including Airflow, Flink, Kafka, and Beam preferredExperience with Snowflake and Databricks preferredProven ability to develop logical data models, ETL/ELT processes, and related documentationMastery of data modeling concepts, large-scale database implementations, and design patternsExperience working with structured, semi-structured, and unstructured data sourcesStrong analytical, problem-solving, and troubleshooting skillsExcellent written and oral communication skillsInfrastructure as Code experience (Terraform, Ansible, etc.)Experience with Deploying a Data Governance Program is a plusA Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required66degrees 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.66degrees is committed to protecting your privacy. We collect, use, and share your personal information in accordance with the California Consumer Privacy Act (CCPA).