Data Engineer

66degrees

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology.

Indianapolis, IN, USA

Data

Senior Software Engineer

5+ years of experience

AI · Enterprise SaaS

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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 8 months 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