Analytics: Responsible for developing and managing a data warehouse for the business, including all ETL processes Computer Science, Data Science or Information Technology Minimum of 2 years' experience in data analysis, business business process mapping Firm understanding of data warehousing, data modelling and ETL processes Sound understanding
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL software development ESSENTIAL SKILLS: Expertise in Data Intelligence and Business Intelligence Knowledge experience At least 3 years' experience building big data pipelines (ETL, SQL, etc) ADVANTAGEOUS TECHNICAL
Reference Data, Smart Foundation and Smart Construction. • Maintaining and extending reference data for all drawing styles. • Experience in exporting model data in various formats and producing models for Smart obtains relevant information, relate, and compare data from different sources and identify alternative
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data PowerShell / Bash Glue CloudWatch SNS Athena S3 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”)
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL Working Model (AWM) Charter ADVANTAGEOUS SKILLS Data and API Mining Knowledge on Security best practices setting up alerting pipelines. Be comfortable with Data Structures and Algorithms Understanding of integration Docker container creation and usage Familiar with data streaming services such as Apache Kafka Coordination Knowledge of Jira, Confluence and Agile methodologies Data Analysis ITSM knowledge User support ticket management
performance and worked with Software installation Capture tools
· Experience in optimisation of functional
Create RESTful APIs Create data clients to consume RESTful APIs Integrate data storage solutions, including of Spring Boot Ability to script and manipulate data in JavaScript/Typescript (knowledge of a server-side
into technical solutions
Develop and enhance data models, ETL processes, and reporting frameworks
data modeling, and visualization tools (e.g., Power BI
problem-solving skills, with the ability to translate complex data into actionable insights
Excellent communication
definition. Elicit requirements using interviews, data analysis, business process descriptions, use cases Degree 5-8 years' progressive experience within a big data environment (Banking, Finance, Mobile Network, Value
IDOCs)