Search the 74 jobs at emids

The Technical Lead will work as a .NET Core Developer with experience in Oracle or PostgreSQL and Angular 2+. Responsibilities include client communication and handling project-related tasks. Immediate joiners are preferred.

Lead and execute end-to-end automation implementations using UiPath and other tools while collaborating with clients to optimize their application systems. Analyze ROI insights and guide junior team members, leveraging expertise in the healthcare domain to drive impactful solutions.

The Senior UI Path RPA Analyst will execute end-to-end automation projects using UI Path, design automation processes adhering to RE Framework standards, analyze ROI for automation, and collaborate with clients for solution delivery. Experience in healthcare and Power Automate is beneficial.

The Associate UI Path Lead Analyst is responsible for executing UI Path implementation projects, designing automation processes, analyzing ROI, and collaborating with clients to deliver solutions. The role also involves driving automation initiatives, preferably in the healthcare sector, while leveraging skills in Power Automate when necessary.

The Software Engineer will focus on data engineering tasks, primarily using Python for ETL processes, transforming data in Databricks, and leveraging Azure services. The ideal candidate should have significant experience in building data pipelines, optimizing ETL processes, and leading data engineering projects with a strong background in Spark and Scala.

The Senior Software Engineer will lead data engineering projects, creating data pipelines and optimizing ETL processes using Python, Databricks, and Azure services. They will work with large-scale data infrastructures and need proficiency in transforming data using various tools, including Spark and Scala.

The Senior Software Engineer will focus on data engineering, developing ETL processes using Python and Databricks, optimizing data pipelines, and leading projects. The role requires expertise with various Azure services and Spark technologies, as well as strong knowledge in data modeling and handling large-scale data infrastructures.

The Senior Software Engineer will leverage Python and ETL processes to transform and load data into Databricks' managed Delta tables. Responsibilities include data engineering, leading projects, optimizing ETL processes, and ensuring effective data modeling and pipeline building, with a strong focus on Azure and Spark technologies.

The Senior Software Engineer will develop ETL processes using Python, focusing on data transformation and error handling. They will work extensively with Databricks and PySpark, handle data from various sources, and lead data engineering projects involving Azure services. Expertise in data modeling and large-scale data infrastructures is essential.

The Sr. Data Engineer is responsible for developing data integration solutions using SSIS and AWS Glue, creating and optimizing stored procedures, and optimizing SQL queries. Additionally, the role includes responsibilities for data modeling.

The role involves performing bank reconciliations, investigating discrepancies, processing wire transfers, and ensuring compliance with banking protocols. It requires managing relationships with bankers, handling documentation for compliance, and monitoring payment statuses.

As a Product Designer at Emids, you will design and enhance healthcare solutions by creating user-friendly interaction designs and visually appealing elements. Responsibilities include conducting user research, collaborating with cross-functional teams, developing wireframes, and creating prototypes for usability testing.

As a Sr. Tech Lead (Angular), you'll leverage your 10+ years of expertise in Angular and related technologies to lead the development of scalable applications. Responsibilities include designing architectural solutions, writing production-ready code, ensuring code quality, and employing best practices in state management and automated testing.

Lead Azure Data Engineer responsible for designing, implementing, and optimizing data pipelines using Databricks. Work with large-scale data, develop ETL workflows, and ensure data quality and compliance. Collaborate with stakeholders to build reusable data solutions and utilize MLflow for machine learning workflows.

As an Azure Data Engineer, you will design and optimize data pipelines in Databricks for processing both structured and unstructured data. Responsibilities include developing ETL workflows, implementing Delta Lake for data management, collaborating with stakeholders, and ensuring data quality and compliance.

As a Power BI Technical Lead, you will develop interactive dashboards and reports, translate business requirements into visual solutions, create and optimize measures and data visualizations, and integrate Power BI with various data sources while ensuring data security.

The Manager will lead a team of data engineers and architects in designing and implementing scalable big data solutions, utilizing AWS services and Databricks for optimizing data pipelines. They will enforce data governance policies and apply FinOps best practices to develop cost-effective data products.

The Senior Software Engineer will design and implement cloud-based solutions using Snowflake, AWS, and Databricks, focusing on automation and security best practices. Responsibilities include managing cloud infrastructure as code, optimizing data warehousing solutions, and ensuring compliance with security protocols.

The Senior Software Engineer will design, develop, test, and deliver high-quality solutions independently. The role requires proficiency in Java JDK 17 and the ability to implement solutions using JDK 21, with a focus on scalable microservices and performance improvements. Client communication and hands-on experience are also emphasized.

The Senior Software Engineer is responsible for providing technical support and developing software solutions, applying strong analytical skills, and troubleshooting ETL/ELT processes. The role requires collaboration with teams and the ability to adapt to new technologies, utilizing tools like Python, DataDog, and AWS to monitor and resolve issues efficiently.