Data Engineer, Managed Services at 66degrees

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Full Time

Start Date

Immediate

Expiry Date

23 Apr, 26

Salary

0.0

Posted On

23 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Google Cloud, AWS, Azure, Python, Git, DBT, BigQuery, Cloud SQL, Dataflow, Dataproc, Spanner, AlloyDB, Airflow, Fivetran, Snowflake, Databricks

Industry

Business Consulting and Services

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 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. Responsibilities Lead 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. This role requires you to provide monitoring, incident response, and on-call support. 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. This role requires you to work in U.K. hours, you will be required to support over the weekend once every three weeks with some flexibility. Qualifications 5+ years of experience in data engineering roles. 2+ years of experience working within GCP. Deep experience with relational and non-relational databases including SQL, Mongo, and legacy databases required. Strong experience with Python and Git. Strong DBT experience. Experience with GCP BigQuery and Cloud SQL required. Dataflow, Dataproc, Spanner, AlloyDB, and other managed hyperscaler data platforms are a significant plus Strong Fivetran experience preferred. Apache stack experience including Airflow, Flink, Kafka, and Beam preferred Experience with Snowflake and Databricks preferred. 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. Infrastructure as Code experience (Terraform, Ansible, etc.). Experience with Deploying a Data Governance Program is a plus. A willingness to commit to the required work hours and on-call schedule. A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required. 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.

Responsibilities

Lead data management and engineering projects primarily within Google Cloud, as well as AWS and Azure environments. Collaborate with technical and business stakeholders to translate business requirements into effective data solutions.