Job Title: Programmer Analyst Data Engineering and Automation
Job Location: Juno Beach Florida
Job Type: Long-term Contract
Job Summary:
We are seeking a highly skilled and experienced Programmer Analyst Data Engineering and Automation to join our dynamic team. The ideal candidate will possess strong expertise in data extraction transform and load (ETL) from various systems and multi-dimensional cube files ingest data into relational databases tethering disparate data sets into a comprehensive data set for analysis running analysis using various optimization models and exposing analytical results using various visualization techniques. Equally important is the ability to build automation using Power Platform tools to automate repetitive manual tasks for internal customers.
Key Responsibilities:
Build automation for internal customers to eliminate manual repetitive tasks
Extract and validate data from various systems using data interfaces and API
Transform extracted data associate data sets and load it efficiently into relational databases ensuring data integrity and optimization
Perform data analysis to support business operations decision making and strategic initiatives
Collaborate closely with cross-functional teams including IT business units and data engineering to ensure seamless data flow and integration
Conduct regular data quality assessments and implement necessary measures to maintain and improve data accuracy consistency and reliability
Develop document and maintain automation and ETL processes methodologies and best practices
Provide support and training to end-users and stakeholders on data extraction reporting tools and analytical methodologies
Stay updated with advancements in AI data analytics technologies and industry best practices to continuously enhance data analysis capabilities
Qualifications:
Bachelors degree in Computer Science Information Technology Data Science or a related field
Minimum of 3 years of experience in data engineering and/or using automation tools
Strong modeling and development experience with multi-dimensional (OLAP) and relational (OLTP) databases
Proven experience using Power Platform tools including PowerApps and Power Automate
Strong proficiency in data ingestion tools including R Script Alteryx SSIS Python
Exposure to building visualization using Power BI and QA/testing of user interfaces
Strong analytical and problem-solving skills with excellent attention to detail
Excellent communication skills with the ability to collaborate effectively with team members and stakeholders
Self-motivated with the ability to work independently and manage multiple tasks in a fast-paced environment
Familiarity with Agile methodologies is a plus
Preferred Skills:
Experience with relational databases like PostgreSQL and multi-dimensional models built using SSAS SAP BW GEP Smart Redshift cluster etc.
Experience in the energy sector or utility industry
Knowledge of data visualization tools like Tableau or Power BI
Understanding of data governance and compliance standards
Job Title: Programmer Analyst Data Engineering and Automation Job Location: Juno Beach Florida Job Type: Long-term Contract Job Summary: We are seeking a highly skilled and experienced Programmer Analyst Data Engineering and Automation to join our dynamic team. The ideal candidate will posse...
Job Title: Programmer Analyst Data Engineering and Automation
Job Location: Juno Beach Florida
Job Type: Long-term Contract
Job Summary:
We are seeking a highly skilled and experienced Programmer Analyst Data Engineering and Automation to join our dynamic team. The ideal candidate will possess strong expertise in data extraction transform and load (ETL) from various systems and multi-dimensional cube files ingest data into relational databases tethering disparate data sets into a comprehensive data set for analysis running analysis using various optimization models and exposing analytical results using various visualization techniques. Equally important is the ability to build automation using Power Platform tools to automate repetitive manual tasks for internal customers.
Key Responsibilities:
Build automation for internal customers to eliminate manual repetitive tasks
Extract and validate data from various systems using data interfaces and API
Transform extracted data associate data sets and load it efficiently into relational databases ensuring data integrity and optimization
Perform data analysis to support business operations decision making and strategic initiatives
Collaborate closely with cross-functional teams including IT business units and data engineering to ensure seamless data flow and integration
Conduct regular data quality assessments and implement necessary measures to maintain and improve data accuracy consistency and reliability
Develop document and maintain automation and ETL processes methodologies and best practices
Provide support and training to end-users and stakeholders on data extraction reporting tools and analytical methodologies
Stay updated with advancements in AI data analytics technologies and industry best practices to continuously enhance data analysis capabilities
Qualifications:
Bachelors degree in Computer Science Information Technology Data Science or a related field
Minimum of 3 years of experience in data engineering and/or using automation tools
Strong modeling and development experience with multi-dimensional (OLAP) and relational (OLTP) databases
Proven experience using Power Platform tools including PowerApps and Power Automate
Strong proficiency in data ingestion tools including R Script Alteryx SSIS Python
Exposure to building visualization using Power BI and QA/testing of user interfaces
Strong analytical and problem-solving skills with excellent attention to detail
Excellent communication skills with the ability to collaborate effectively with team members and stakeholders
Self-motivated with the ability to work independently and manage multiple tasks in a fast-paced environment
Familiarity with Agile methodologies is a plus
Preferred Skills:
Experience with relational databases like PostgreSQL and multi-dimensional models built using SSAS SAP BW GEP Smart Redshift cluster etc.
Experience in the energy sector or utility industry
Knowledge of data visualization tools like Tableau or Power BI
Understanding of data governance and compliance standards
View more
View less