Cloud Data Engineer

Insight Global; Miami (FL); On-site; USD 100,000 - 130,000; Full time

Job summary

Insight Global is searching for a Cloud Data Engineer in Miami, Florida. This role requires expertise in designing and managing robust data pipelines, ensuring data quality and security, while utilizing cloud technologies primarily on AWS.

The ideal candidate should have over 4 years of experience in data engineering, proficiency in Python scripting, and familiarity with data warehousing technologies. A commitment to creating an inclusive and diverse work environment is essential.

Qualifications

• 4+ years of experience developing and implementing data solutions.
• Experience in data engineering focused on data warehousing.
• Proficient in scripting languages like Python and PowerShell.
• Strong understanding of OLAP Cubes and dimensional modeling.
• Experience with cloud infrastructure (AWS preferred).

Responsibilities

• Design and implement data pipelines ensuring high data quality.
• Optimize data storage and retrieval strategies.
• Monitor and troubleshoot data pipelines for performance.

Skills

Data warehousing

Cloud-based data solutions

Python scripting

Data modeling approaches

ETL processes

AWS

Tools

SQL Server

Oracle

MySQL

Snowflake

Fivetran

Matillion

SSIS

SSAS

SSRS

Job description

Job Description

Our client is seeking a Cloud Data Engineer to join their team within Enterprise Data Management. This person will be responsible for designing and implementing robust data pipelines. Must maintain high data quality and security in cloud environments, automating tasks with Python abd Bash scripting, and continuously research new technologies to enhance scalability. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems. Some day to day responsibilities include, but are not limited to: Develop and maintain ETL processes using tools such as Fivetran, Matillion, SSIS, SSAS,SSRS and Snowflake Dataflow on AWS, Optimize data storage and retrieval by designing and implementing data partititioning, indexing, and compression strategies, build and maintain data processing infrastructure within AWS, monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance, etc.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail]. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 4+ years of experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.
• Experience in data engineering with a focus on data warehousing and legacy systems.
• Experience with multiple data modeling approaches SWL, and scripting programming languages like Python and PowerShell.
• Tech: understanding of OLAP Cubes, Dimensionalmodel, Collab tools (Jira, confluence, lucid chat), Databases (SQL Server, Oracle, MySQL, HANA, Snowflake), AWS, Strong understanding of Windows, and Linux based infrastructure.
• Cruiseline or hospitality experience.