Summary
Date Posted: Monday, June 13, 2022 , Base Salary: Not Disclosed

JOB DETAILS:
Job Purpose:
To build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.

Main Responsibilities:
• Design, Implement And Maintain The Infrastructure Required For Optimal
• Extraction, Transformation, And Loading Of Data From A Wide Variety Of Data Sources Using SQL And 'Big Data' Technologies Into A Data Warehouse Based On Internal Process Improvements, Automation And Optimization Of Data Delivery.
• Identify, Design And Implement Internal Process Improvements Including Re
• Designing Infrastructure For Greater Scalability, Optimizing Data Delivery, And
• Automating Manual Processes
• Design And Build Solutions To Empower Users To Perform Self-Serve Analytics
• Needs.
• Assemble Large, Complex Data Sets That Meet Functional / Non-Functional
• Business Requirements And Design Custom ETL And ELT Processes.
• Implement Enhancements And New Features Across Data Infrastructure Systems
• Including Data Warehouse, ETL, Master Data Management & Bl Platform
• Maintain The Overall Data Infrastructure Systems . Troubleshoot Data Issues, Data Platforms And Perform Root Cause Analysis
• Design And Implement Data Products And Features In Collaboration With Product
• Owners, Data Analysts, And Business Partners Using Agile / Scrum Methodology
• Design And Build An Optimal Organizational Data Infrastructure And Architecture
• For Optimal Extraction, Transformation, And Loading Of Large Data Volumes From A Wide Variety Of Data Sources Using SQL And Azure, AWS Big Data Technologies.
• Profile And Analyze Data For The Purpose Of Designing Scalable Solutions
• Define And Apply Appropriate Data Acquisition And Consumption Strategies For
• Given Technical Scenarios
• . Work With Architecture And Other Teams To Ensure Quality Solutions Are
• Implemented, And Engineering Best Practices Are Defined And Adhered To
• Anticipate, Identify And Solve Issues Concerning Data Management To Improve
• Data Quality.
• Work With Analytics Tools That Utilize The Data Pipeline To Provide Actionable
• Insights Into Operational Efficiency And Other Key Business Performance Metrics.
• Advise On The Best Tools/Services/Resources To Build Robust Data Pipelines For
• Data Ingestion, Connection, Transformation, And Distribution
• Transform Data And Engineer New Features For Machine Learning Models
• Perform Deep-Dive Analysis Including The Application Of Advanced Analytical
• Techniques To Solve Some Of The More Critical And Complex Business Problems
• Create New Methods To Visualize Core Business Metrics Through Reports,
• Dashboards, And Analytics Tools.
• Work With Different Stakeholders To Assist With Data-Related Technical Issues And
• Support Their Data Infrastructure Needs.
• Work With Business Users To Understand The Domain Knowledge And Troubleshooting Of Product Issues


Knowledge and Skills:
• Understanding of ETL framework and tools
• Understanding of reporting & data visualization tools
• Excellent analytical, creative and problem-solving skills.
• Excellent verbal and written communication skills with the ability to interact
• effectively with people at all levels.
• Ability to work effectively within a team.
• Ability to prioritize, meet deadlines and work under pressure
• Ability to work independently with minimal supervision


Job Experience: No Requirements

Work Hours: 8

Level of Education: Bachelor Degree

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