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Skills
Algorithmsunmatched
Analysis Skillsunmatched
Business Analysisunmatched
Business Supportunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Managementunmatched
Data Miningunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Database Designunmatched
Needs Assessmentunmatched
Performance Tuning/Optimizationunmatched
Predictive Modelingunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Programming Languagesunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
Quality Managementunmatched
R Programming Languageunmatched
SQL Databasesunmatched
Statistical Algorithmsunmatched
Systems Analysisunmatched
Systems Maintenanceunmatched
Team Playerunmatched
Trend Analysisunmatched
Description
Build Your own Job Description! Data Engineers at Incedo build and maintain the data systems and convert raw data into usable information for analytics and business decision-making that impact Fortune 20 customers. To succeed in the Data Engineering position, you should have strong analytical and problem solving skills and the ability to combine data from different sources, so we're looking for data engineers with strong analytical skills, who can create algorithms and conduct statistical and ability to integrate raw information from different sources to create consistent machine readable formats. Our engineers are versatile, enthusiastic and work with leaders across the organization to help support business decisions. Does this sound like you? As a Data engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Their ultimate goal is to make data accessible so that various stakeholders and clients can use it to evaluate and optimize their business performance. What are we looking for? Technical Skills and Responsibilities: Analyzing and organizing raw data Developing and maintaining datasets Improving data quality and efficiency Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Other skills and competence Technical expertise with data models, data mining, and segmentation techniques Strong analytical and problem-solving skills. Hands-on experience with SQL database design Knowledge of programming languages (R, Python) Bachelor’s Degree in Computer Science, IT, or similar field Highly motivated with a sense of ownership and accountability. Quick learner with a great attitude. Genuine team player, able to work well and pleasantly in a team and work independently for the team Ability to communicate effectively with technical and non-technical audiences