Data Engineer
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology.
Data
Senior Software Engineer
Contact Company
5+ years of experience
AI · Enterprise SaaS
Description For Data Engineer
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. We help the world's leading brands transform their business challenges into opportunities and shape the future of 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.
Responsibilities include:
- Lead data management and engineering projects primarily within Google Cloud, but also on AWS and Azure environments.
- Migrate, analyze, and manage data structures, as well as design, develop, test, and implement data solutions.
- Work with a global team and customer-base to ensure continuous high-performance operations for mission-critical data systems.
- Deliver, optimize, and support complex data solutions for customers.
- Collaborate with technical and business stakeholders to advise customers and translate business requirements into effective solutions.
- Ensure data quality by implementing data quality rules and test cases.
Qualifications:
- 5+ years of experience in data engineering roles
- 2+ years of experience working within GCP
- Deep experience with relational and non-relational databases
- Strong experience with Python and Git
- Strong DBT experience
- Experience with GCP BigQuery and Cloud SQL required
- Strong Fivetran experience preferred
- Apache stack experience preferred
- Experience with Snowflake and Databricks preferred
- Infrastructure as Code experience
- Bachelor's degree in Computer Science, Computer Engineering, or related field
66degrees offers a culture that sparks innovation and supports professional and personal growth. Join us to make a significant impact in the world of cloud technology and data engineering.
Last updated a month ago
Responsibilities For Data Engineer
- 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
- 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
Requirements For Data Engineer
Python
MongoDB
PostgreSQL
- 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
- Strong experience with Python and Git
- Strong DBT experience
- Experience with GCP BigQuery and Cloud SQL
- 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.)
- Bachelor's degree in Computer Science, Computer Engineering, or related or equivalent work experience
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