As a Data Analyst, you will be responsible for building, modulating and understanding the data produced by the tool to efficiently transform the data into customer friendly dashboards which show business value insights as part of Skan implementation for our prospects and current customers. You will work closely with our Customer Success and Implementation Services teams in understanding, discovering, defining and quantifying potential business value improvements that Skan can help achieve. The role will be focused on modifying or creating dashboards so that the customer realizes the value of Skan s data. You will also participate in standardizing templates and value driven outcomes by industry and process which can be subsequently leveraged in similar projects. You will have the opportunity to use data to drive business decisions, write SQL queries, data mine and visualize techniques. What you will do at Skan: Ability to interpret data and build/modify dashboards jointly with customers, and based on data, propose potential process improvement solutions with internal teams and customer stakeholders Work with data to arrive at key metrics and KPI s for our customers. E.g. NPS (Net Promoter Score), FPR (First Pass Rate) etc Create dashboards with a high level of creativity to bring out powerful business value through insights and stories and present to internal stakeholders Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions Analyze unique operational data to find new and deep insights that bring our customers value Utilize Power BI and experiment with infographics to make our rich data as actionable as possible Collaborate and innovate with our data science team to unlock new value drivers from our data Participate in customer value engineering meetings and gain first-hand experience on business value Participate in standardizing the value engineering framework and report templates at Skan Requirements What you will bring to Skan: 7-10 years of business intelligence or data analytics experience - experience with Snowflake and Microsoft PowerBI preferred 3+ years experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS Experience using Python to parse, structure, and transform data Affinity for numbers and metrics Ability to create user friendly and concise dashboards which enable the customer to understand their process better Clear and effective communication skills Team Player with willingness to learn. Ability to coordinate with different teams across the organization Analyzing industries, overall economic and corporate trends Conduct and facilitate internal and external research and discovery around customer business processes Hands-on experience with PowerBI Nice to have: Previous industry experience in Banking, Finance or Healthcare Data Analytics certification

We are seeking a highly skilled AI Engineer to design and implement intelligent systems that drive automation, insights, and innovation. You will work on machine learning (ML), deep learning and optimization algorithms collaborating with cross-functional teams building scalable AI solutions for real-world applications. Key Responsibilities Design, develop and optimize ML/AI models for classification, regression, and recommendation systems. Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment. Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc. Apply MLOps best practices for model versioning, monitoring, and retraining. Work with large-scale datasets, performing feature engineering and data augmentation. Optimize model performance for scalability, latency, and efficiency in production. Deploy AI models using MLOps practices, containerization (Docker), and cloud services (Azure). Research and experiment with state-of-the-art AI techniques to improve existing models and integrate cutting-edge techniques into production systems. Collaborate with data scientists and product teams to integrate AI into business applications. Qualifications Skills Required: Bachelors/Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. Strong programming skills in Python Experience in training and deploying ML models in production. Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools. Understanding of data structures, algorithms, and optimization techniques. Experience with data engineering, feature extraction, and model evaluation. Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.). Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models. Knowledge of multi-modal AI (text, image). Nice to Have: Knowledge of reinforcement learning, planning, and decision-making models. Hands-on experience with big data processing and big data frameworks Familiarity with vector databases. Experience in real-time AI applications for high-performance systems.

Job Description A Release Manager is responsible for overseeing the process of releasing product increments and hot-fixes and ensuring that it is delivered on time with high quality and with minimal disruptions. Essential Duties and Responsibilities: Planning : Involve in the product increment features planning or hot-fixes planning, defining product increment release versions and define the product increment release schedule. Coordination : Working with Engineering team, Product team, QA team, DevOps team, Operations team and other teams to ensure all aspects of release process are executed seamlessly. Act as the primary point of contact for all release-related communications, including updates to stakeholders, management, and external partners. Version Control : Manage the code movements to various code repository branches - main/ master, dev, qa etc. Tagging/labelling repository with release version once the code is merged in release branches of code repositories. Deployment : Managing the deployment process, including the distribution of product increments to various environments including development, testing, staging and production Monitoring and Reporting: Tracking closely the progress of the releases, resolving issues that may arise and reporting on release activities. Track release metrics, such as release frequency, success rates, and issues encountered, and report these to management. Documentation: Ensuring that all release documentation is complete and up-to-date. The documentation includes release notes which contains the notes about new features, hot fixes, known issues, limitations that are part of current release. Documentation includes tracking and updating of release versions, the deployment/upgradation plan in customer environment and the status of deployment/ upgradation. Risk Management: Identify potential risks in the release process and implementing strategies to mitigate them. Change Management: Manage change requests and ensure they are documented, reviewed, and approved in a structured manner. Release Policy and Process: Define and enforce release policies and processes, ensuring compliance and continuous improvement. Post-Release Activities: Organize post-release reviews and retrospectives, capturing lessons learned and identifying areas for improvement. Required experience: Bachelors or Masters in Computer Science / Electrical Engineering or a related discipline 8+ years of professional experience in project management, OR 3-4 years of relevant experiences in release management or release engineering OR both. Knowledge of software development processes Strong project management and organizational skills Knowledge about Azure DevOps Experience in Release engineering or Release management roles involving release processes and execution. In-depth Knowledge and Experience in the following areas: Understanding of software product development and deployment processes Experience in working with version control systems. Experience in Microsoft Azure Git repository or Git Knowledge about CI/CD tools - Azure pipeline Experience in project management, agile tools - Azure board High level understanding of following tech stack Python, C++ Angular Docker, Kubernetes SQL Database Management Systems (Relational, Document) Additional skills: Excellent verbal and written communications skills Ability to coordinate and collaborate with cross-functional teams Ability to manage multiple releases Ability to adapt to changing priorities and manage tasks under tight deadlines

We are a dynamic team dedicated to delivering custom and standard reports to our clients using cutting-edge data visualization and reporting tools. We work primarily with Power BI and SQL to turn complex data into actionable insights. We are looking for a talented and motivated Business Intelligence Analyst / Data Analyst to join our team. Key Responsibilities: Design efficient data models and relationships to support analytical and reporting needs. Collaborate with data engineering teams to ensure seamless integration of data from various sources. Optimize DAX calculations and queries for performance efficiency. Work independently to identify and resolve issues in data modelling and reporting. Utilize AI tools to enhance productivity and automate repetitive tasks. Optimize and automate reporting processes to improve efficiency and performance. Provide insights and recommendations based on data analysis to support business objectives. Qualifications: Proven experience with Power BI data modelling, including Import, Direct Query, and Composite models. Strong expertise in DAX, Power Query (M Language), and SQL. Experience in working with big data reporting and handling large-scale datasets efficiently. Ability to work independently with minimal supervision. Strong problem-solving skills and ability to troubleshoot complex data issues. Experience in leveraging AI tools to improve efficiency and streamline workflows. Understanding of data warehousing concepts and ETL processes. Excellent communication and collaboration skills.

We are looking for an AI/ML Architect to join our team. The ideal candidate should have a strong understanding of developing end-to-end architectures designed for AI and machine learning solutions as well as developing scalable and maintainable frameworks for AI models , pipelines, and systems. Roles and Responsibilities Design end-to-end architectures for AI and machine learning solutions tailored to business needs. Develop scalable and maintainable frameworks for AI models, pipelines, and systems. Define technology stacks, tools, and infrastructure for AI solutions, including cloud-based and on-premise systems. Architect systems for deploying AI models into production (e.g., using Docker, Kubernetes, or serverless technologies). Ensure solutions are scalable and capable of handling high throughput and low-latency requirements. Collaborate with data engineers to design robust data pipelines for training and inference Implement CI/CD pipelines for automated testing and deployment of ML models. Provide guidance to data scientists, engineers, and product teams to ensure project alignment. Collaborate with cross-functional teams for integrating AI into products or services. Explore new tools, and techniques to improve existing systems. Prototype innovative solutions and assess their feasibility for production. Mentor junior engineers, data scientists, and developers in best practices. Establish coding standards, design principles, and operational guidelines for AI projects. Review code and ensure it follows best practices and are performant Communicate technical concepts to non-technical stakeholders effectively. Stay updated with the latest trends, frameworks, and breakthroughs in AI and machine learning. Required Skills 8-10 years of overall experience. Proficiency in programming languages like Python, Java, or R. Expertise in ML/AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data engineering tools (e.g., Spark, Hadoop, Airflow). Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong understanding of AI model lifecycle, and DevOps practices. Excellent communication, leadership, and problem-solving skills. Desirable Skills Understanding of process mining/process analytics/intelligence

We are expanding our team and seeking a Senior Program Manager to join our Professional Services team. This role offers a unique opportunity to drive successful implementations of Skan technology, aiding Fortune 500 companies across various industries in achieving measurable value from their transformation and operational excellence programs. Role Description As a Senior Program Manager, you will play a crucial role in driving end-to-end implementations of Skan technology across our largest and most strategic customers. Your efforts will directly contribute to enabling our customers to drive significant business outcomes and ROI by leveraging insights uncovered through Skan. This position reports to our VP of Customer Success and is a key component of our Professional Services team. We are looking for a highly motivated and experienced Process Intelligence Program Manager to lead our initiatives in optimizing business processes through data-driven insights and AI technologies. The ideal candidate will possess a strong background in process improvement, data analysis, and project management, with a proven track record of leading cross-functional teams to enhance operational efficiency and effectiveness. Key Responsibilities Program Management: Oversee multiple related projects (a program) or initiatives that align with the client s strategic goals, aiming to achieve long-term benefits and strategic objectives beyond the scope of individual projects. Focus on achieving strategic business outcomes and value through the coordinated management of multiple projects. The goals are often related to organizational growth, efficiency, and competitive advantage. Business Capabilities and Road Mapping: Partner with client stakeholders to define program roadmaps aligned to strategic goals and business cases with financial outcomes. Make higher-level strategic decisions that affect the overall program and its alignment with organizational strategies. This includes prioritizing projects, allocating resources across the program, and adjusting project objectives to better serve strategic goals. Data Analysis and Insights: Leverage data analytics and machine learning models to provide actionable insights for process optimization, cost reduction, and performance enhancement. Project Implementation: Own and drive end-to-end implementations of Skan technology, ensuring projects are delivered on time and meet customer requirements. Process Optimization: Identify and analyze key business processes, utilizing Skan capabilities to uncover inefficiencies, bottlenecks, and opportunities for improvement. Collaboration: Work closely with Sales teams, Pre-Sales, partners, and Customer Success Managers to establish Skan Professional Services value proposition and statements of work during pre-sales phases. Project Management: Plan, schedule, and manage project timelines, resources, scope, and budget across multiple projects. Create and maintain detailed project plans that emphasize speed to delivery and efficient use of resources. Stakeholder Management: Collaborate directly with customer senior-level executives, process owners, and technical teams to understand their goals, objectives, and requirements, ensuring their successful realization. Risk Management: Regularly communicate project status, proactively manage and escalate risks and issues both internally and externally to minimize impact on project success. Innovation and Strategy: Stay abreast of the latest trends and technologies in process intelligence, AI, and data analytics. Develop and implement strategic initiatives to drive continuous improvement and competitive advantage. Requires a blend of leadership, strategic thinking, and business acumen to navigate complex environments, align projects with strategic goals, and manage change across the organization. Team Leadership: Lead and develop a team of analysts and project managers, fostering a culture of innovation, collaboration, and excellence. Performance Measurement: Establish and monitor key performance indicators (KPIs) to assess the effectiveness of process improvements and the overall impact on business performance. Qualifications Bachelors or Masters degree in Business Administration, Engineering, Computer Science, Data Science, or a related field. Overall Experience ranges between 10 to 18 years. A minimum of 6 years of experience in process improvement, business analysis, or a similar role, with at least 2 years in a leadership position. Strong analytical and problem-solving skills, with experience in process mining, data analysis, and performance metrics. Excellent project management skills, with a track record of successfully leading large-scale projects. Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. Knowledge of AI and machine learning applications in business process optimization is a plus. Experience in the Hi-tech industry will be a plus

About the Role We are seeking an experienced DevOps Manager to lead our DevOps team, streamline our deployment processes, and enhance the scalability, reliability, and security of our infrastructure. The ideal candidate will have extensive knowledge of cloud technologies, containerization, CI/CD, and infrastructure as code. Accountabilities Leadership Strategy: Manage and mentor a team of DevOps engineers, fostering a collaborative and high-performance environment. Drive cloud initiatives using Microsoft Azure, including deployment, monitoring, and optimizing cloud services. Lead the adoption and enhancement of Infrastructure as Code (IaC) practices using Terraform for resource provisioning and Ansible for configuration management and automation. Ensure robust security practices across all infrastructure layers, including regular audits, compliance, and threat mitigation strategies. Cloud Infrastructure (Azure): Design, implement, and manage Azure cloud infrastructure, optimizing for scalability, cost-efficiency, and security. Oversee Azure services, including Azure Policy, Management Groups, Role-Based Access Control (RBAC), and Azure Blueprints for enforcing compliance and governance at scale. Containerization and Orchestration (Kubernetes): Oversee the orchestration and management of containerized applications using Kubernetes, ensuring high availability and scalability. Manage Azure Container Registry (ACR) for managing and securing container images, including vulnerability scanning and image lifecycle policies. Data Messaging Platform: Ensure efficient and secure management of PostgreSQL databases, including backups, performance tuning, and scaling strategies. Implement and maintain messaging queues (e.g., RabbitMQ, Kafka, Azure Service Bus) to ensure reliable inter-service communication. CI/CD Automation: Design, implement, and maintain CI/CD pipelines in Azure DevOps, enabling seamless deployment processes. Lead initiatives to optimise automation and monitoring processes for proactive incident management. Collaboration Communication: Work closely with development, QA, and other engineering teams to ensure alignment on deployment and operational needs. Promote DevOps best practices across the organization to foster a culture of reliability and continuous improvement. Monitoring Observability: Proficiency in tools like Azure Monitor, Application Insights, Log Analytics, and Prometheus/Grafana to ensure proactive monitoring and incident management. Incident Change Management: Proficient in incident response, post-mortem analysis, and managing changes via ITIL practices or ServiceNow integration. Required Qualifications Education Experience: Bachelor s degree in Computer Science, Information Technology, or related field (or equivalent experience). 5+ years of experience in a DevOps role with at least 2 years in a managerial position. Proven experience with Kubernetes, Azure cloud services, PostgreSQL, and message queue technologies. Technical Skills: Strong expertise in Azure DevOps CI/CD pipelines. Hands-on experience with Terraform and Ansible. Deep understanding of infrastructure security best practices. Proficiency in managing messaging services (RabbitMQ, Kafka, etc.) and data platforms. Experience with Azure governance and policy management tools. Proficiency in monitoring and observability tools like Prometheus, Grafana, and Azure Monitor. Preferred Qualifications Microsoft Certified: Azure Solutions Architect / DevOps Engineer. Certified Kubernetes Administrator (CKA). Terraform Associate.

Overview: We are seeking an experienced Test Engineer with a proven track record of excellence in software testing. The ideal candidate will have a minimum of 5 years of hands-on experience in test planning, test case design, execution, and automation. You will play a critical role in ensuring the quality and reliability of our software products, collaborating closely with cross-functional teams to deliver high-quality solutions to our customers. Responsibilities: Test Case Design: Develop detailed, clear, and comprehensive test cases based on product requirements, user stories, and design specifications. Test Execution: Execute test cases across different platforms, environments, and configurations, identifying defects, documenting issues, and driving their resolution. Automation: Design and implement automated test scripts to improve efficiency and effectiveness of regression testing. Defect Management: Manage the defect lifecycle, including accurate bug reporting, tracking, and verification of bug fixes. Collaboration: Work closely with development, QA, and product teams to understand requirements, identify testing gaps, and ensure the highest quality standards are met. Continuous Improvement: Contribute to the enhancement of testing processes, methodologies, and best practices, staying up-to-date with industry trends and emerging technologies. Documentation: Create and maintain comprehensive documentation related to test cases, test plans, test results, and other testing-related artifacts. Qualifications: Bachelors degree in Computer Science, Engineering, or related field. Minimum of 5 years of experience as a Test Engineer or similar role. Strong experience in manual testing, test case design, and test execution. Experience in test automation frameworks and tools such as Selenium, TestNG, Pytest, Jmeter, Postman..etc Hands-on experience with scripting languages (e.g., Python, Java, etc.) for automation purposes. Experience with performance testing tools (e.g., JMeter, LoadRunner) is a plus. Knowledge of software development life cycle (SDLC) and agile methodologies. Excellent analytical and problem-solving skills, with attention to detail. Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment. Certifications in software testing (e.g., ISTQB) are a plus.

Description We are seeking an accomplished Front-End Developer with advanced expertise in Angular to join our innovative team. The ideal candidate will have a robust background in developing sophisticated web applications and a solid understanding of REST API integration. Your contributions will be instrumental in crafting the front-end for our AI-powered product. Key Responsibilities: Angular Development: Take charge of front-end development utilizing Angular, ensuring optimal performance and responsive design. API Integration: Integrate REST APIs efficiently to retrieve and display data within the application. Collaboration with UI/UX: Partner closely with UI/UX designers to transform designs into interactive and functional interfaces. Diagramming Tools: Utilize knowledge of front-end diagramming tools like GOJS, yFiles, D3 etc. to enhance visual representations within the application (preferred but not mandatory). Code Excellence: Uphold high standards of code quality by ensuring all code is well-structured, maintainable, and scalable. Team Collaboration: Collaborate effectively with cross-functional teams, including backend developers, product managers, and QA engineers. Problem-Solving : Leverage strong analytical skills to address challenges and optimize development processes. Mentorship: Offer guidance and mentorship to less experienced developers on the team. Required Skills: Angular Proficiency: A minimum of 5 years of in-depth experience with Angular, with a comprehensive understanding of components, services, directives, and state management. REST API Integration: Demonstrated experience in integrating RESTful services into front-end applications. Diagramming Tools: Familiarity with diagramming tools like GOJS, yFiles, D3, or equivalent is an advantage. Teamwork: Strong interpersonal skills with a collaborative mindset and the ability to work effectively in a team environment. Analytical Thinking: Strong problem-solving abilities with a proactive approach to identifying and addressing issues. Experience working within Agile development frameworks.

Company Role Overview: Skan s vision is to be the foundation for operational intelligence and the fabric of the future of work. If you are interested in working on an AI-powered platform and redefining business process discovery and management, join us on our journey. Description : Skan is seeking an experienced and highly skilled Implementation Consultant to drive the successful deployment of our products within customer environments. In this critical role, you will serve as the primary technical liaison between Skan and our customers, ensuring seamless product implementation, and configuration, and assisting our customers in realizing maximum value from our solutions. As the bridge between our internal teams and client stakeholders, you will play a pivotal role in understanding customer processes, documenting requirements, and delivering tailored solutions that drive tangible business impact. What you will do at Skan: Customer Engagement and Solution Delivery: Collaborate closely with customers technical teams to assess requirements, map processes, and execute comprehensive deployment plans for Skans product offerings. Lead the end-to-end planning, configuration, and operationalization of Skan solutions, ensuring alignment with customer needs and seamless integration into their existing infrastructure. Serve as the primary point of contact for customers, providing technical guidance, support, and timely resolution to product-related issues and queries. Coordinate with internal cross-functional teams to ensure adherence to ambitious deployment schedules and successful project execution. Develop and maintain detailed implementation plans and provide regular updates. Manage escalations by documenting risks and impacts, partnering with internal teams and customers to develop remediation plans. Build deep expertise in Skans product suite and maintain knowledge of the latest updates. Serve as the Subject Matter Expert (SME) for the Skan platform, supporting the customer Center of Excellence (COE) and Skan partners, assisting with platform deployment and enablement of relevant roles involved. Technical Expertise and Troubleshooting: Leverage your deep technical expertise to conduct thorough research, investigate issues, and debug product deployments, working closely with Skans Product, Engineering, and Support teams to resolve complex technical challenges. Utilize monitoring tools to identify, troubleshoot, and escalate issues to the appropriate internal teams for resolution. Perform root cause analysis, leveraging your analytical skills and log analysis capabilities to identify and address the underlying causes of technical issues. Stay up to date with emerging technologies, industry trends, and best practices to ensure the delivery of cutting-edge solutions to our customers. Solution Documentation and Reporting: Maintain detailed documentation of customer configurations, processes, and application requirements, ensuring knowledge transfer and future reference. Collaborate with customer subject matter experts to understand their business processes, and desired outcomes, and validate reports generated by Skans solutions. Create and present executive reports and updates, effectively communicating technical information to both technical and non-technical stakeholders. What you will bring to Skan: Bachelors degree in engineering, Computer Science, or a related technical field. 5-6 years of working experience in IT Consulting, Management Consulting, Process Improvement, or a similar area. Proven ability to perform data interpretation, result analysis, and application of statistical techniques. Hands-on experience with IT systems, software applications, Windows, and Linux platforms. Excellent communication and presentation skills, with the ability to convey technical concepts to diverse audiences. Strong problem-solving and analytical skills, with a passion for tackling operational technical challenges. Familiarity with HTML, CSS, APIs, security protocols, and communication protocols is highly desirable.

What we are looking for We are looking for DevOps Engineer with expertise in Kubernetes, Azure, terraform and OpenShift. Job Description Responsibilities Deliverables What you will do at Skan: Infrastructure as Code (IaC): Design, implement, and maintain Infrastructure as Code using tools such as Terraform with specific modules. Continuous Integration/Continuous Deployment (CI/CD): Develop and manage CI/CD pipelines using Azure DevOps to automate build, test, and deployment processes, ensuring application delivery. Cloud Platforms: Manage cloud infrastructure on Azure, ensuring optimal performance, cost efficiency, and scalability. Containers and Orchestration: Manage Kubernetes for container orchestration, ensuring seamless deployment and scaling of applications through Azure DevOps Pipelines and Helm Charts. Monitoring and Logging: Understand and have basic knowledge of monitoring and management of Big Data, such as Elastic Stack (Metricbeat, Filebeat, Kibana, etc) and/or other solutions to ensure health and performance on our applications. Scripting and Automation: Utilize any preferred tools (Python, Bash, Ansible, PowerShell) to automate manual or routine tasks, improving efficiency and enhancing system reliability. Security and Compliance: Collaborate on implementing and maintaining security best practices, ensuring compliance with industry standards and regulations. Troubleshooting and Support: Provide support for troubleshooting infrastructure, deployment, and performance issues, implementing solutions for system stability. Documentation: Maintain clear and comprehensive documentation for infrastructure, processes, and configurations to facilitate knowledge sharing and onboarding with other teams. Required/Preferred Experience What you will bring to Skan: Proven experience as a DevOps Engineer with a minimum of 4 years in a similar role. Strong proficiency in Azure DevOps, Azure services, Kubernetes, Python, Elasticsearch, and bash scripting. Hands-on experience with Docker and Kubernetes for containerization. Strong proficiency in Ansible, Terraform and similar tools for automation and Infrastructure. Familiarity with continuous integration tools and processes. This includes Git, Git Flow and Azure DevOps Understanding of data transformation practices including: ETL, ELT, data modeling, data warehousing, and data lake. Knowledge of security best practices and compliance standards. Effective collaboration with cross-functional teams. Strong problem-solving and analytical skills. Qualification Demonstrated expertise and a minimum of 4 years of experience in a DevOps role. Solid understanding of cloud computing principles and experience with Azure. Excellent communication and collaboration skills. Strong documentation skills for maintaining clear and comprehensive records. Ability to troubleshoot and provide solutions in a fast-paced environment. Deep Understanding of CI/CD pipelines and containerization. Passion for solving operational technical challenges with scalable automated solutions to technical challenges. Azure Certification in DevOps - Is a Plus

Job Summary We are seeking a skilled Data Engineer with 3 to 5 years of experience in building scalable data pipelines and solutions, with strong hands-on expertise in Databricks . The ideal candidate should be proficient in working with large-scale data processing frameworks and have a solid understanding of Delta Lake , PySpark , and cloud-based data platforms . Key Responsibilities: Design, build, and maintain robust ETL/ELT pipelines using Databricks (PySpark/SQL) . Develop and optimize data workflows and pipelines on Delta Lake and Databricks Lakehouse architecture . Integrate data from multiple sources, ensuring data quality, reliability, and performance. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions. Monitor and troubleshoot production data pipelines; ensure performance and cost optimization. Work with DevOps teams for CI/CD integration and automation of Databricks jobs and notebooks. Maintain metadata, documentation, and versioning for data pipelines and assets. Required Skills: 3-4 years of experience in data engineering or big data development . Strong hands-on experience with Databricks (Notebook, Jobs, Workflows) . Proficiency in PySpark , Spark SQL , and Delta Lake . Experience working with Azure or AWS (preferably Azure Data Lake, Blob Storage, Synapse, etc.). Strong SQL skills for data manipulation and analysis. Familiarity with Git , CI/CD pipelines , and job orchestration tools (e.g., Airflow , Databricks Workflows ). Understanding of data modeling , data warehousing , and data governance best practices. Required Skills: 3-5 years of experience in data engineering or big data development . Strong hands-on experience with Databricks (Notebook, Jobs, Workflows) . Proficiency in PySpark , Spark SQL , and Delta Lake . Experience working with Azure or AWS (preferably Azure Data Lake, Blob Storage, Synapse, etc.). Strong SQL skills for data manipulation and analysis. Familiarity with Git , CI/CD pipelines , and job orchestration tools (e.g., Airflow , Databricks Workflows ). Understanding of data modeling , data warehousing , and data governance best practices.