Ingegnere Dati

Role Overview: As a Data Engineer in Hyderabad, you will play a crucial role as a key member of a team focused on Data Engineering to meet the business requirements. Your responsibilities will involve designing, building, and supporting metadata connectors from SaaS and On-prem data sources to leading industry tools. Additionally, you will collaborate with business stakeholders of clients to define requirements, review architecture, and identify solutions for business problems. Key Responsibilities: - Design, build, and support metadata connectors from SaaS and On-prem data sources to industry leading tools. - Collaborate with business stakeholders to define requirements, review architecture, and identify solutions for business problems. - Design and implement microservices architecture with ETL focus on Azure tools such as Data Lake, EDW, and DevOps Maintenance. - Utilize expertise in data warehousing and ETL processes, working with JSON, XML, XPath, and RESTful APIs. - Work with Cloud solutions and SaaS tools, particularly Azure tools like Fabric, Data Lake, and Data Factory. - Demonstrate proficiency in relational databases, SQL for analytics, and database management. - Experience in CI/CD pipelines, including automated deployment tools like Jenkins or GitLab. Qualifications Required: - Bachelor's degree in Engineering or Bachelor of Science. - 5+ years of experience in designing, building, and supporting solutions involving data. - Hands-on experience with microservices architecture, Azure tools, data warehousing, ETL processes, JSON, XML, XPath, RESTful APIs, Cloud solutions, SaaS tools, relational databases, SQL, CI/CD pipelines, and automated deployment tools. - Excellent communication and interpersonal skills with exceptional attention to detail. Role Overview: As a Data Engineer in Hyderabad, you will play a crucial role as a key member of a team focused on Data Engineering to meet the business requirements. Your responsibilities will involve designing, building, and supporting metadata connectors from SaaS and On-prem data sources to leading industry tools. Additionally, you will collaborate with business stakeholders of clients to define requirements, review architecture, and identify solutions for business problems. Key Responsibilities: - Design, build, and support metadata connectors from SaaS and On-prem data sources to industry leading tools. - Collaborate with business stakeholders to define requirements, review architecture, and identify solutions for business problems. - Design and implement microservices architecture with ETL focus on Azure tools such as Data Lake, EDW, and DevOps Maintenance. - Utilize expertise in data warehousing and ETL processes, working with JSON, XML, XPath, and RESTful APIs. - Work with Cloud solutions and SaaS tools, particularly Azure tools like Fabric, Data Lake, and Data Factory. - Demonstrate proficiency in relational databases, SQL for analytics, and database management. - Experience in CI/CD pipelines, including automated deployment tools like Jenkins or GitLab. Qualifications Required: - Bachelor's degree in Engineering or Bachelor of Science. - 5+ years of experience in designing, building, and supporting solutions involving data. - Hands-on experience with microservices architecture, Azure tools, data warehousing, ETL processes, JSON, XML, XPath, RESTful APIs, Cloud solutions, SaaS tools, relational databases, SQL, CI/CD pipelines, and automated deployment tools. - Excellent communication and interpersonal skills with exceptional attention to detail.