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Cloud Data Engineer
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Insight Global
Miami, FL (In Person)
Full-Time
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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 HR@insightglobal.com.
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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