Job Summary: We are looking for a detail-oriented Infrastructure Administrator with proven expertise in managing enterprise IT tools and cloud platforms. You will be responsible for setting up, configuring, and maintaining key systems like Tableau, AWS Resources, SAP BO, Collibra, SAS, and Alteryx. Key Responsibilities: Manage administration of Tableau Server, SAP BO, Alteryx Server, and AWS Services. Handle access provisioning, license management, and user governance for Collibra and Power Designer. Oversee system stability, performance optimization, and backup strategies. Monitor tool usage, patch versions, and ensure software compliance. Collaborate with IT and Data Governance teams for secure infrastructure practices. Must-Have Skills : Experience administering Tableau Server , including user permissions and dashboards Proficiency in managing AWS Resources (IAM roles, EC2, S3, monitoring tools) Strong working knowledge of Collibra and Information Steward for data governance Experience managing SAS , Alteryx Server , and other enterprise data tools Nice-to-Have Skills : Familiarity with Power Designer , Datagrip , and metadata repository tools Knowledge of enterprise security policies , auditing, and patch management Experience in regulated sectors like insurance, banking domains

We are hiring skilled Backend Developers to join our technology team supporting a top-tier client in the Retirement Pension Planning and Insurance domain. You'll work on large-scale enterprise data warehouse systems and develop robust, scalable data pipelines across real-time and batch environments. Roles & Responsibilities : Design, develop, and maintain scalable backend data pipelines using AWS Glue, PySpark, Lambda, and Kinesis . Implement both batch and real-time data ingestion and transformation flows using Alteryx . Collaborate with solution architects, analysts, and business stakeholders for data modeling and integration. Optimize data workflow performance, storage, and processing across multiple datasets. Troubleshoot data pipeline issues, maintain documentation, and ensure adherence to best practices. Work in agile teams and participate in sprint planning and code reviews. Technical Skills Required Must-Have: 3+ years of experience with AWS Glue , PySpark , and AWS Lambda Hands-on experience with AWS Kinesis or Amazon MSK Proficiency in scripting using Python Experience working with data warehouses and ETL frameworks Knowledge of batch and real-time data processing with Alteryx Good-to-Have: Understanding of data lake architectures and S3-based pipelines Familiarity with CI/CD tools for cloud deployment Basic knowledge of Data Governance tools or BI platforms (Tableau/Snowflake)

Job Summary: We are looking for a skilled Support Engineer to manage and troubleshoot AWS-based data systems supporting both frontend and backend applications. You will play a vital role in ensuring operational uptime, system availability, and incident resolution for enterprise-grade platforms. Key Responsibilities: Monitor AWS-hosted environments (S3, Lambda, RDS, EC2) for performance and health. Provide L2/L3 production support for real-time and batch data workflows. Perform root cause analysis and incident reporting. Create monitoring scripts, automate routine checks, and participate in release deployments. Collaborate with development, DevOps, and cloud infrastructure teams. Must-Have Skills : Proficiency in AWS infrastructure monitoring (CloudWatch, CloudTrail, Lambda logs) Strong knowledge of CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline) Experience writing automation scripts in Python , Shell , or PowerShell Prior work supporting Enterprise Data Warehouse environments Nice-to-Have Skills : Familiarity with Terraform or CloudFormation for infrastructure as code Experience working under ITIL or similar service management frameworks Basic knowledge of frontend monitoring tools like Datadog or New Relic