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BI Data Engineer
- The Woodlands, Texas, United States
- The Woodlands, Texas, United States
À propos
Position Summary The BI Data Engineer is a Business Intelligence focused role that will be an essential part of the team leading the Global Business Intelligence rollout across ChemPharma & Energy. The ideal candidate will possess proven technical expertise in BI Implementations, strong business acumen, and excellent interpersonal skills. As a BI Data Engineer, you will design data storage systems, works to fill them with quality data using data pipelines into a data warehouse. The BI will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building them from the ground up. This is a great opportunity to work on building a BI platform from scratch for a company that has significant leadership engagement to undergo a BI tech transformation.
www.craneco.com
Principle Duties
Creating ETL routines includes writing the code that creates the transformations and processes that move data from the specified sources, transform it as required and write it into the data mart
Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse
Recommend and implement process to improve data quality, data reliability, and database performance
Employ variety of ETL and integration tools for system and data integrations
Architect solutions that support data scientist and business stakeholders
Conduct ETL testing and data transformation testing.
Develop data models for data science team that can be utilized for data mining
Maintain source to target documentation and process flow documentation
Ability to serve as SQL Server DBA – Processes/Job/Error Handling/Troubleshooting/Scheduling, etc
Create and enhance data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing and analyzing large sets of data
Translate data access, transformation, and movement requirements into functional requirements and mapping designs
Ensure data quality
Oversee the complete lifecycle of data integration: analysis, design, implementation and actively engage with the business on using the data to make decisions
Architect data flows, build out data pipelines and implement complex analytics while ensuring the highest standard of data integrity
Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance
Translating business requirements into data models to manage data within the organization, using sound technical expertise
Managing the Data Platform roadmap ensuring technical future proofing, capacity and optimization of the platform
Working with the IT Operations team and BI Vendor to resolve any production issues
Managing stakeholder demand and backlog of reporting requirements and needs
Maintaining relationships with key vendors to plan and adapt the Data Platform roadmap and best leverage the capabilities that we have
Monitoring usage of the Data Platform and working with users to deprecate reports and data sets that are not needed and creating a continuous improvement model for the data
Actively working with users to understand data issues, tracing back data lineage and helping the business put appropriate data cleansing and quality processes in place
Monitoring and reporting on the uses of emerging technologies, and seeking areas for continuous improvement
Prescribe and doggedly follow CBS processes and toolkits to achieve operational excellence
Submit Weekly Report to update on the progress of assigned tasks
Follow project charge from IT Leader
Ensure compliance with IT policies and regulations
Essential Qualifications / Experience
BS or MS degree in Computer Science or a related technical field
4+ years of experience with ETL Development, Testing, Maintenance and Troubleshooting
4+ years of SQL experience (No-SQL experience is a plus)
4+ years of experience with data cleansing and preparation
Strong understanding of data analysis, data and process modelling, and relational database concepts
Experience designing, building, and maintaining data processing systems
Database Development (tables, relationships, indexes, stored procedures, functions, jobs, agents, etc.)
3rd Party System Integrations/API programming
Agile (methodologies and practical application)
Continuous Integration/Continuous Deployment (methodologies and practical application)
New System Installations (Server Setup, Configuration, Testing, Deployment)
System Migrations (i.e., On-Premise to Cloud)
Must be willing to travel to domestic/international Crane or customer locations, with up to 25% travel at peak-times
Desirable Qualifications / Experience
Knowledge of best practices and IT operations in an always-up, always-available service
Proven Business intelligence and data experience gained in previous roles
Previous experience of meeting the visualization, reporting and analytics needs of key business functions through development of presentation and data models
Working closely with business management teams to understand their requirements and data
Defining and developing data sets, models and cubes.
Data Warehouse Design/Development - ETLs, Data Modeling, Advanced Data Management Techniques
Desirable to have working knowledge of SalesForce data structures
Experience with or knowledge of Agile Software Development methodologies
Excellent problem solving and troubleshooting skills
Process oriented with great documentation skills
Excellent oral and written communication skills with a keen sense of customer service
Experience presenting to stakeholders
This position is not eligible for visa sponsorship.
#CPE
Crane Company. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, sexual orientation, general identity, national origin, disability or veteran status.
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Compétences linguistiques
- English
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