Sr Consultant : Java - Spring boot, Azure , Nodejs, Graphql Job Exp - 11+ Years Timing : Sweden Timing (CET) Roles and Responsibilities Understands stated needs & requirements of the stakeholders and produce high quality deliverables Monitors own work to ensure delivery within the desired performance standards. Understands the importance of delivery within expected time, budget and quality standards and displays concern in case of deviation. Adapts to unfamiliar situations, thinks on the feet & displays sense of urgency for completion of deliverables. Breaks down the problem into smaller parts to analyze and chooses the best course of action with available information. Good communication skills and a team player Preferred candidate profile Fullstack Developer/Architect/Programmer with 11+ Years of experience Must have skills in Spring 3.x, Hibernate, Weblogic Should have strong development skills in GraphQL , Nodejs, Springboot. Preferably 2 Years of Development exp in Angular Knowledge of React, Azure APIM will be an advantage . Angular with backend experience in Java, Springboot, Graphql, Microservices, Cloud (Azure preferred), DevOps. Must have Experience of Devops , CI/CD , DevOps:Jenkins, Docker, Kubernetes Good Knowledge of Microservices Good knowledge of HTML5,CSS and JavaScript Angular.js,Bootstrap, React.js Understanding of database-related technology such as Oracle, PostgreSQL, Mongo, MySQL. Good communication is a must

Sr Data Engineer (SQL , Python , Snowflake , AWS) Exp- 4 to 7 Years We are looking for a Data Engineer with expertise in SQL and Python, along with foundational knowledge of AWS Glue ETL. The ideal candidate should have experience in access roles, policies, and RBAC/PBAC implementation, especially within Snowflake. Working in agile product teams is essential, and certifications in AWS Cloud and Snowflake Engineering are highly preferred . Roles and Responsibilities Data engineering Write efficient SQL queries to process and manipulate large datasets. Develop and optimize Python-based data processing scripts and workflows. Design, develop, and maintain scalable ETL pipelines using AWS Glue. Participate in agile development processes, including sprint planning, stand-ups, and retrospectives. Work on cloud-based data solutions, leveraging AWS and Snowflake best practices. Basic knowledge of access control mechanisms, including RBAC (Role-Based Access Control) and PBAC (Policy-Based Access Control) within Snowflake. Configure and monitor Snowflake access roles, policies, and user permissions Required Qualifications: 3-5 years of experience in data engineering or a related field. Strong proficiency in SQL and Python . Basic understanding of AWS Glue ETL and its functionalities. Experience working in an agile product development environment. Basic knowledge of access roles, policies, RBAC, PBAC, and Snowflake access role management. Strong understanding of cloud-based data solutions (AWS, Snowflake). Excellent problem-solving and analytical skills. Preferred Qualifications: AWS Cloud certification (AWS Certified Data Analytics, AWS Certified Solutions Architect, etc.) Snowflake Engineering certification . Experience with big data processing frameworks (Spark, Hadoop). Knowledge of data governance and security best practices

Position : Sr Azure Data Engineer Location: Remote Time : CET Time Role & responsibilities We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in Microsoft Azure, Fabric Azure SQL, Azure Synapse, Python, and Power BI. Knowledge of Oracle DB and data replication tools will be preferred . This role involves designing, developing, and maintaining robust data pipelines and ensuring efficient data processing and integration across various platforms. Candidate understands stated needs & requirements of the stakeholders and produce high quality deliverables Monitors own work to ensure delivery within the desired performance standards. Understands the importance of delivery within expected time, budget and quality standards and displays concern in case of deviation. Good communication skills and a team player Design and Development: Architect, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure services, including Azure SQL and Azure Synapse. Data Integration : Integrate data from multiple sources, ensuring data consistency, quality, and availability using data replication tools. Data Management: Manage and optimize databases, ensuring high performance and reliability. ETL Processes: Develop and maintain ETL processes to transform data into actionable insights. Data Analysis: Use Python and other tools to analyze data, create reports, and provide insights to support business decisions. Visualization : Develop and maintain dashboards and reports in Power BI to visualize complex data sets. Performance Tuning : Optimize database performance and troubleshoot any issues related to data processing and integration Preferred candidate profile Minimum 7 years of experience in data engineering or a related field. Proven experience with Microsoft Azure services, Fabrics including Azure SQL and Azure Synapse. Strong proficiency in Python for data analysis and scripting. Extensive experience with Power BI for data visualization. Knowledge of Oracle DB and experience with data replication tools. Proficient in SQL and database management. Experience with ETL tools and processes. Strong understanding of data warehousing concepts and architectures. Familiarity with cloud-based data platforms and services. Analytical Skills: Ability to analyze complex data sets and provide actionable insights. Problem-Solving: Strong problem-solving skills and the ability to troubleshoot data-related issues.