Key Facts

Remote From:

Full time

Mid-level (2-5 years)

English

Hard Skills

Data Modeling Snowflake (Data Warehouse) AWS Cloud Services Python (Programming Language) Microsoft Azure SQL (Programming Language) gRPC Data Quality Data Warehouse Architectures Metadata Management ETL (Extract Transform Load) Apache Spark Data Collection Cloud Computing

Other Skills

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Communication

Roles & Responsibilities

Strong data modeling background with experience in logical to physical database design.
Proficiency in Snowflake, including analyzing, architecting, and developing cloud data solutions.
Hands-on experience with Python, PySpark, and SQL for data processing and transformation.
Knowledge of cloud services such as AWS, GCP, and Azure, and experience designing scalable data ingestion frameworks.

Requirements:

Design and develop cloud data solutions using Snowflake and other cloud platforms.
Transform logical data models into optimized physical database designs.
Collaborate with application teams to implement data strategies and build data workflows.
Maintain and optimize data models and source-to-target mappings for ongoing projects.

Blue.cloud

Information Technology & Services

About Blue.cloud

BlueCloud provides tailored solutions for its clients through the implementation of leading cloud technologies. They are a cloud-only transformation company that enables enterprises to swiftly transform to cloud. With a vision to lead cloud solutions focusing on innovation, customer service, and employee engagement, BlueCloud implements practical business strategies and technology solutions for clients. Their services include digital strategy, data engineering and analytics, digital services, and cloud operation services. BlueCloud originated in 2004 as Bluenet but has evolved from the data and analytics space. They currently offer services to clients ranging from Fortune 500 enterprises to mid-market companies and startups. BlueCloud company headquarters are located in Tampa Bay, FL. For more information, visit www.blue.cloud.

Company type: SME

Industry: Information Technology & Services

Founded: 2018

Company size: 201 - 500

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Job description

Join Blue.Cloud: a global leader in cloud solutions with an exceptional focus on innovation, customer service, and employee engagement.

Blue.Cloud is a digital transformation company that specializes solely in implementing leading cloud technologies and solutions for our clients which include Fortune 500 and Fortune 200 level companies as well as start-ups. As a cloud-only and cloud-forward transformation company, we help organizations to enable and speed their journey to the cloud.

With a balanced view of strategy, people, process, and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies and technology solutions.

Cloud Data Engineer / Data Modeler

Strong Data Modeling background is a must -- with experience transforming logical models into physical database designs using best practices to ensure high data quality, reduce redundancy and optimize performance.

Snowflake: Experienceanalyzing, architecting, designing, and developing cloud datasolutions with Snowflake.
Strong Python / PySpark & SQL knowledge and hands on experience.
Strong knowledge and hands on experience with cloud services such as AWS, GCP and Azure.
Optimize, update and maintain logical and physical data models, source to target mappings to support new and existing projects.
Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
Experience in designing multi-phased cloud data strategies, including designing multi-phased implementation roadmaps
Design and develop scalable data ingestion frameworks to transform a variety of datasets
Deep experience with designing and deploying end-to-end solutions with a cloud platform's analytic services including storage, permissions, private cloud, database services, virtual machines, and parallel processing technologies
Overall: Strong background in database administration/data warehousing concepts, ETL development, data modeling, metadata management, and data quality.
Strong communications skills (verbal and written) and the ability to effectively communicate design recommendations to a varied audience.