Must Have Technical/Functional Skills
- 5+ years of experience building platforms and data products
- 5+ years of experience working with data and data warehousing business solutions
- 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
- AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
- 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
- Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
- Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.
Roles & Responsibilities
- Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
- Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
- Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
- Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
- Complete data modelling for acquisition and database implementation collaborating with different stakeholders
- Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
- Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
- Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
- Analyze and manage complex data
- Guide other data and analytics professionals on data standards and practices
- Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
- Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
- Leverage automation extensively for scalability, repeatability, and reuse
Generic Managerial Skills, If any
- Experience in Human Resources
- Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
- Experience with Azure DevOps (ADO) or Team Foundation Server (TFS ), GitLab, GIT, IIS, Windows Server
- Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
- Experience with Cloud technologies and/or Cloud-native app development and microservices
Base Salary Range : $100,000 to $130,000 Per Annum
TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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