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Tech Stack
Tools & technologiesAWSAzureCloudSQLSSIS
About the role
Key responsibilities & impact- Implement Data Warehouse solutions in multiple platforms - from on premise to cloud solutions.
- Familiarity with modern enterprise data and reporting architectures, design patterns, and data toolsets.
- Support Data Services in ensuring the Data Management platform’s stability, scalability, and capacity planning to support business growth.
- Execute data consolidation and optimization projects, in collaboration with the Data Analytics team.
- Skills and capabilities to support implementation of new technologies such as AI, Machine Learning, and big data.
- Assist in evaluation and selection of data management's tools and technology to align with our technology strategy.
- Contribute to development process methodology and tools following industry best practices and Assurant’s standard, such as Agile methodology, ceremonies, and DevOps tool.
- Builds processes to ingest, process and store massive amounts of data.
- Assists with optimization the performance of bigdata ecosystems.
- Wrangles data in support of data services and reporting projects.
- Collaborates and contributes in identifying project risks, design mitigation plans, develops estimates.
- Contributes to the design, development of data-pipelines, and feature engineering of data solutions.
Requirements
What you’ll need- 5+ years of experience in Data Warehouse, Business Intelligence, Analytics, or Information Management
- 3 years of experience in gathering business requirements and converting them to functional specifications
- 3 years of working experience in building large scalable data & analytics environments in either private or public (cloud) infrastructure
- 1 year of working experience with Agile delivery methodology for data & analytics products
- Understanding of Data Governance's concepts and processes related to data quality, privacy, and security
- Strong written, verbal, and interpersonal communication skills.
- Ability to effectively communicate at all levels in the organization.
- Bachelor’s degree in computer science, Information Management Systems, or related subjects
- Microsoft BI Stack Expertise: Hands-on experience with: SQL Server Database Engine Integration Services (SSIS) Analysis Services (SSAS) Reporting Services (SSRS) Power BI, Power Apps, and PowerShell
- Cloud Platforms: Practical experience with Azure and AWS for data integration and migration.
- Development Methodologies: Familiarity with Agile and Waterfall approaches. CI/CD with Azure DevOps.
- Big Data Concepts: Understanding of Big Data technologies and their application in data processing.
- Business Intelligence & Data Warehousing: Advanced knowledge of BI principles and data warehouse architecture.
- Machine Learning & AI Fundamentals: Basic understanding of ML and AI concepts using Microsoft technologies.
- SQL Performance Optimization: Strong skills in performance tuning and query optimization.
- Power BI Architecture & Performance: Expertise in: Semantic modeling Incremental refresh configuration DAX optimization and tuning
- Data Modeling: Proficiency in: Data profiling Dimensional modeling techniques Creating logical and physical data models
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data WarehouseBusiness IntelligenceAnalyticsInformation ManagementSQL ServerSSISSSASSSRSPower BIData Modeling
Soft Skills
communication skillsinterpersonal skillscollaborationrisk identificationmitigation planningbusiness requirements gatheringfunctional specifications conversionproject estimationprocess optimizationdata wrangling