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. We are looking for someone with a broad range of skill sets with 2-4 years of relevant experience.
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. Work closely with the GCP Security Team and other SME roles to ensure datastores are protected. Liaise between clients and developers to ensure that all data requirements are met.
Responsibilities
Our ideal candidate will understand the value of teamwork and love solving problems. We are looking for the right fit with our rapidly growing organization and will invest in training.
This position is hybrid (Flexi office days + remote) and will work closely with our teams in the US and India.
A 66degrees Data Engineer responsibilities and duties are as follows:
- As a Data Engineer, you’ll guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform.
- Hands-on experience with latest GCP data engineering services including Dataflow, Dataform, Streaming Services, PySpark, APIs integration across services.
- Work with technical and business leads to transfer global business requirements into sound solutions and implementation
- Lead data management within a GCP environment, including migrating, analyzing, and managing data structures within GCP
- Work with data scientists and software engineers to support data acquisition activities, data solution ideation, and implementation
- Share support responsibilities for implemented components
- Provide extensive technical, strategic advice and guidance to key stakeholders around the data transformation effort
- Capable of quickly adapting and building plans around migrating data from legacy applications
- Work closely with the GCP Security Engineer and SME role to ensure datastores are protected
- Liaise between clients and developers to ensure that all data requirements are met
Qualifications
- 3+ years of experience with data engineering, cloud architecture, or working with data infrastructure
- 3+ years of experience with working within Google Cloud Platform (GCP) or a platform including Azure or AWS
- Experience with the primary managed data services within GCP, including Cloud Bigtable, BigQuery, Cloud Spanner, Cloud SQL etc.
- Experience with relational databases
- BE or BS degree
- Experience in migrating legacy databases and applications
Nice to Have
- Google Cloud Data Engineer certification
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.
