Job Overview We are seeking a skilled and experienced Senior Performance Engineer to join our team. The Senior Performance Engineer will focus on ensuring the scalability, reliability, and performance of our cloud management platform, including serverless architectures. This role involves designing and executing performance testing strategies, analysing performance bottlenecks, and collaborating with cross- functional teams to deliver high-performing solutions. Experience Required: 5+ Years Key Responsibilities Design and implement comprehensive performance testing strategies for cloud management platforms, with a focus on serverless applications. Develop, execute, and maintain performance test plans, scripts, and scenarios using tools like JMeter, Gatling, Locust, or serverless-specific testing tools. Monitor and analyze serverless application performance in AWS Lambda, Azure Functions, Google Cloud Functions, etc. Identify and troubleshoot performance bottlenecks in serverless environments, considering cold starts, execution time, concurrency limits, and resource utilization. Optimize performance and reduce costs for serverless applications through proactive monitoring, tuning, and best practices. Work closely with development and SRE teams to implement and integrate serverless performance testing into CI/CD pipelines. Collaborate with stakeholders to evaluate system performance, assess scalability, and plan capacity for serverless architectures. Use performance monitoring tools such as AWS CloudWatch, Lambda Insights, Datadog, New Relic, or similar to monitor and report serverless application performance metrics. Develop and maintain dashboards and performance metrics tailored to serverless applications. Stay up-to-date with industry trends, serverless architectures, and best practices in performance engineering. Requirements Minimum of 5 years of experience in performance testing and engineering. Hands-on experience with performance testing tools such as JMeter, Gatling, Locust, or serverless-specific testing frameworks. Strong experience with serverless architectures, particularly AWS Lambda, Google Cloud Functions, or Azure Functions. Strong expertise in performance monitoring tools like AWS CloudWatch, Lambda Insights, Datadog, New Relic, or similar for serverless environments. Strong understanding of performance considerations in serverless applications, including cold starts, execution time, concurrency, and resource utilization. Experience troubleshooting performance issues in serverless systems, including resource allocation and scaling challenges. Proficiency in scripting and automation using languages like Python, Java, or similar. Good understanding of cloud infrastructure, particularly AWS, and its performance considerations. Experience integrating performance testing into CI/CD pipelines. Strong analytical, problem-solving, and communication skills. Ability to work independently as well as collaboratively in a fast-paced environment. Experience with load testing serverless applications at scale. Knowledge of performance tuning for serverless databases (e.g., DynamoDB, Aurora Serverless). Good to have familiarity with containerized serverless architectures (e.g., AWS Fargate). Exposure to chaos engineering practices for serverless applications. Experience with API performance testing in serverless environments.

Role is with one our customers in Dubai, 100% Remote/Offshore Data Engineer with expertise in Microsoft Fabric, Databricks and related technologies We are seeking a skilled and proactive Data Engineer to design, operate, and enhance our data infrastructure. This role focuses on managing data warehouses, pipelines, and storage systems, with a strong emphasis on Microsoft Fabric, Databricks and modern CI/CD practices. Key Responsibilities Data Warehousing & Storage Design, implement, and maintain scalable data warehouses using Microsoft Fabric, Azure Synapse and Databricks Manage structured and unstructured data across One Lake, Delta Lake, and other storage solutions. Data Pipelines & Ingestion Build and optimize data ingestion pipelines using Azure Data Factory, Databricks, Spark, and Dataflows Gen2. Ensure reliable ETL/ELT processes for real-time and batch data movement. Development & CI/CD Maintain and version control code repositories (e.g., GitHub, Azure Repos). Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions. Platform Administration Administer Microsoft Fabric and Databricks environments, including Lakehouse and Data Engineering workloads. Monitor, troubleshoot, and fine-tune data workflows for performance and reliability. Governance Ensure data quality, security, and compliance with governance standards. Required Skills & Experience Experience 5+ years in data engineering or similar roles Microsoft Fabric Hands-on with OneLake, Lakehouse, Spark notebooks and Databricks Languages Proficient in SQL, Python (or PySpark) Tools Azure Data Factory, Databricks, Azure Synapse, Databricks, Git, Power BI CI/CD Experience with DevOps pipelines and infrastructure-as-code Data Modelling Strong grasp of dimensional modelling, metadata management, and data governance Preferred Qualifications Microsoft Certified: Azure Data Engineer Associate or Microsoft Fabric, Databricks certification Familiarity with hybrid cloud environments and data mesh/fabric concepts Experience with structured streaming and large-scale data processing Thanks & Regards, Fatima Team Lead - Recruitment Mobile - 9819067889 Email - fatima@varishthainfotech.com http://www.varishthainfotech.com Office M13, Business Venue Building, Oud Metha, Dubai, UAE- PO Box 33161

Role: Data Solution Architect Location: Bangalore, Chennai, Hyderabad, Kochi, Mumbai, Kolkata, Noida, Gurgaon (Any office but he/she need to be local) Experience: 12-15 Years Budget: 35-40 LPA Only Immediate Joiners Role Objectives Design and maintain enterprise data architecture to support the analysis and interpretation of complex datasets from diverse sources, transforming them into actionable business insights. Lead deep technical investigations into complex data challenges to define solution architecture , propose target state models, and identify key benefits. Apply industry-standard templates, methodologies, and best practices for data architecture, integration, and governance. Implement enterprise data management capabilities including data catalogues , business glossaries , metadata management , data lineage , and reference/master data frameworks . Drive adoption of cloud-native platforms such as Azure Data Platform , Informatica , and automation tools for scalable data solutions. Architect automated data processing workflows using tools like Power Automate , Python , macros , and custom scripts to streamline data operations. Identify and implement data architecture optimizations for efficiency, performance, and scalability. Collaborate with cross-functional teams to enable data-driven decision-making through architectural guidance and scalable data solutions. Enforce and promote data management best practices and architectural governance standards. Stakeholder Management Partner with Product Owners and Data Governance Leaders to promote adoption and alignment of data architecture with business objectives. Ensure data solutions are understandable and usable by technical and non-technical stakeholders. Act as a data architecture evangelist , capturing feedback and driving continuous improvement. Governance and Compliance Operate in alignment with organizational policies, data standards, and regulatory requirements . Ensure adherence to enterprise data governance frameworks, policies, and audit controls . Essential Skills Strong experience as a Data Solution Architect in Financial Services (banking, superannuation, insurance, etc.) and expertise in customer data architecture . Proficiency in data architecture , data modeling , data warehouses , data lake design , and advanced analytics platforms . Experience in data transformation logic , data ingestion patterns , and data quality frameworks . Expertise in documenting and aligning business data requirements with technical solutions. Strategic thinker with strong collaboration and leadership capabilities. Excellent communication skills , translating business objectives into scalable data solutions. Project and stakeholder management , ensuring architectural deliverables are on track. Proven ability to manage multiple concurrent data architecture initiatives . Specific Skills We Are Seeking Candidates to Possess and Demonstrate Are: Ability to lead and operate independently , while collaborating with business users, architects, data engineers, testers, and analysts. Strong understanding of business workflows, enterprise systems , and gathering technical and business data requirements . Proficiency in creating data architecture artifacts , including ERDs, interface specs, data dictionaries, transformation logic, and lineage diagrams . Hands-on experience with complex SQL , ETL pipelines , and cloud-based data platforms . Additionally, It Would Be Advantageous If Candidates Can: Develop Power BI semantic models and design visual analytics dashboards for key business metrics. Evaluate and optimize data warehouse architecture and cloud migration strategies . Create data quality frameworks and reconciliation strategies across enterprise data sources. Lead or contribute to data governance initiatives and architectural enhancements.