Data/AI Engineer supporting innovations in corporate travel with AWS technologies at HRS Group. Collaborating with data teams to develop AI solutions and maintain data pipelines.
AS
Onsite Data Engineer, 5+ Years Exp, Data Warehouse Modeling, Big Data, SSIS, BI, Agile, PowerApps, Shell, SQL
Posted 1 hour ago
About the role
- Data Engineer developing data solutions for reporting and analytics at Assurant. Implementing and optimizing Data Warehouse solutions in cloud and on-premise environments with Agile methodology.
Responsibilities
- 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
- 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
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Engineer developing AI - driven analytics for trading at Deloitte. Focusing on scalable data pipelines and collaboration with traders for actionable insights.
Big Data Engineer developing and optimizing data systems at ESET. Collaborating with cross - functional teams to handle and transform vast datasets.
Data Engineer involved in delivering scalable enterprise systems and digital transformation platforms for Qualysoft. Collaborate with global teams across various industries and technologies.
Program Manager leading development of AI - driven data platform to enhance revenue intelligence across global business functions. Collaborating across teams and regions in a hybrid work environment.
Project Manager overseeing payroll system implementation with global outsourcing partner. Leading cross - functional teams and stakeholder engagement for project success.
Data Engineer 3 optimizing Market Place processes for Walmart Global Tech's Chennai team. Developing data pipelines and ensuring efficient utilization of Market Place systems.
Data Engineer at Michelin designing and supporting data analytics systems. Involved in data transformation and pipeline quality assurance.
Data Engineer at CBTW handling data pipelines and ETL processes using SAS. Collaborating with business stakeholders and ensuring data governance within SAS environments.
Data Engineer I at Catalyst Brands developing and optimizing data pipelines for cross - functional teams. Designing next generation data platform architecture to meet increasing data demands in a retail environment.