
Roles & Responsibilities:
· Collaborate closely with clients to understand their requirements, goals, and any gaps.
· Lead the planning, prioritization, design, development, and deployment of projects.
· Possesses in-depth knowledge and expertise in Workday HCM and Workday Security.
· Support existing security setup and create/update security assignments as needed.
· Act as a subject matter expert for Workday Security and provide guidance to clients and colleagues.
· Stay updated with the latest industry trends and developments in the HCM area and understands how roles and responsibilities drive access to the system.
· Collaborate with sales and business development teams to identify new opportunities and contribute to proposal development.
· Utilize your business knowledge and expertise to identify opportunities for technical improvements.
· Work with colleagues across various domains to deliver results and take ownership of both individual and team outcomes.
· Recognize and embody our purpose and values, applying them in your projects and client interactions.
· Foster relationships and communicate effectively to positively influence peers and stakeholders.
Qualification & Experience:
- At least 3 years of hands-on experience in configuring in Workday HCM and Security.
- Proactive approach to identifying and addressing security vulnerabilities.
- Deep understanding of Workday Platform, including HCM and other HR modules.
- Big plus if you have worked on Workday Financial domain security as well.
- Ability to work with HR, finance, and IT teams to align security solutions with business needs.
- Strong professional communication skills, both written and verbal.
- Ability to work effectively in a team-oriented environment.
- Proven ability to establish relationships with stakeholders and internal teams.
- Excellent attention to detail and follow-through.

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- Collaborate with business users and stakeholders to understand business processes and data requirements
- Design and implement dimensional data models, including fact and dimension tables
- Identify, design, and implement data transformation and cleansing logic
- Build and maintain scalable, reliable, and high-performance ETL/ELT pipelines
- Extract, transform, and load data from multiple source systems into the Enterprise Data Warehouse
- Develop conceptual, logical, and physical data models, including metadata, data lineage, and technical definitions
- Design, develop, and maintain ETL workflows and mappings using appropriate data load techniques
- Provide high-level design, research, and effort estimates for data integration initiatives
- Provide production support for ETL processes to ensure data availability and SLA adherence
- Analyze and resolve data pipeline and performance issues
- Partner with BI teams to design and develop reports and dashboards while ensuring data integrity and quality
- Translate business requirements into well-defined technical data specifications
- Work with data from ERP, CRM, HRIS, and other transactional systems for analytics and reporting
- Define and document BI usage through use cases, prototypes, testing, and deployment
- Support and enhance data governance and data quality processes
- Identify trends, patterns, anomalies, and data quality issues, and recommend improvements
- Train and support business users, IT analysts, and developers
- Lead and collaborate with teams spread across multiple locations
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- Bachelor’s degree in Computer Science or a related field, or equivalent work experience
- 3+ years of experience in Data Warehousing, Data Engineering, or Data Integration
- Strong expertise in data warehousing concepts, tools, and best practices
- Excellent SQL skills
- Strong knowledge of relational databases such as SQL Server, PostgreSQL, and MySQL
- Hands-on experience with Google Cloud Platform (GCP) services, including:
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- Cloud SQL
- Cloud Composer (Airflow)
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- Dataproc
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- Experience with Informatica PowerExchange for Mainframe, Salesforce, and modern data sources
- Strong experience integrating data using APIs, XML, JSON, and similar formats
- In-depth understanding of OLAP, ETL frameworks, Data Warehousing, and Data Lakes
- Solid understanding of SDLC, Agile, and Scrum methodologies
- Strong problem-solving, multitasking, and organizational skills
- Experience handling large-scale datasets and database design
- Strong verbal and written communication skills
- Experience leading teams across multiple locations
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- Experience with SSRS and SSIS
- Exposure to AWS and/or Azure cloud platforms
- Experience working with enterprise BI and analytics tools
Why Join Us
- Opportunity to work on large-scale, enterprise data platforms
- Exposure to modern cloud-native data engineering technologies
- Collaborative environment with strong stakeholder interaction
- Career growth and leadership opportunities
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