Careers
Software Engineer:
Design, Develop, program, test, create, integrate and implement Enterprise applications and perform complex Deployments. Create and Deploy multiple applications and services in Development, Quality and Production environments. Utilize Erwin, Toad for SQL Server, SQL, Server Business Intelligence Development Studio (SSIS, SSRS), TSQL, PL/SQL, SQL Query Analyzer, Visual Studio, and Visual Basic.
Software Engineer:
Design, Develop, program, test, create, integrate and implement the Automating process of data migration and creation of data loading process to maintain data quality. Create filters, quick filters, data source filters, global filters, context filters, user filters, actions, and create Dashboards for key performance indicators. Develop Reports / Dashboards with different Analytics Views (Drill-down /Dynamics, Cascading style sheets, Pivot table, Chart, Column Sector) using Presentation services. Building and maintaining well-managed data solutions by leveraging advanced analytical and technical skills and tools such as Python, Snowflake SQL, AWS, Tableau, and Agile Methodologies. Enable self-service frameworks for data consumers. Use Databricks clusters to connect and query data from various tables.
Software Engineer:
Design, Develop, code, debug, test, document, Implement, Investigate, Creating LAMBDA functions using NodeJS, NPM, Node, Spring AOP, Spring Transaction management, Spring Security, React Components List Views, Scroll View, Carousel, Table Layouts, Splunk, Gradle, EC2, Microservices, JIRA, sprint, and Agile Methodologies.
Software Engineer:
Design, Develop, program, test, create, integrate, and implement Enterprise applications, Components, and Streams and perform complex Deployments across environments. Create and deploy multiple applications and services in Development, Quality, and Production environments. Utilize Java, Spring, SOAP (JAXWS), Microservices, JENKINS, SOAP, RESTful Web Services, Oracle, Angular JS, JavaScript, jQuery, HTML5 & CSS3.
Software Engineer:
Design, Develop, create a testing framework and implement Test Infrastructure. Participate in Design and Architectural discussion. Building API Automation framework using REST Assured Framework. Deploy multiple applications and services in Development, Quality, and Production environments. Utilize Java, Selenium, Postgres, GIT, SOAP UI, Microservices, JENKINS, Dockers, SOAP, RESTful Web Services, MySQL J2EE, JIRA, and Agile Methodologies. Bachelor’s with 5 years of experience or Master’s with one year of experience in Java, Selenium, Cucumber, JavaScript, GitHub, Gitlab, Bitbucket, Hibernate, Jenkins, Docker, Oracle, MongoDB, WebLogic, WebSphere, Restful, SOAP, Tomcat, Eclipse, SQL Developer, Maven, Unix, JIRA, HP Quality Center.
Software Engineer:
Design, Develop, program, test, create, integrate and implement Enterprise applications and perform complex Deployments. Create and Deploy multiple applications and services in Development, Quality and Production environments. Utilize Erwin, Toad for SQL Server, SQL, Server Business Intelligence Development Studio (SSIS, SSRS), TSQL, PL/SQL, SQL Query Analyzer, Visual Studio, and Visual Basic.
Software Engineer:
Plan, design, creation, and implementation of workflows, data flows, scripts and performing simple and complex transforms in data flow using different data integrator, platform and Data quality. Develop a strategy to transform business processes and migration using Salesforce, Siebel Technologies. Utilize Salesforce, Siebel, Apex, JavaScript, CI/CD process, Visual force, EIA/EAM Technologies, Siebel eScript, JAD Sessions, CRM, CSS, Web Services, Middleware, Oracle Database, Agile methodologies.
Software Engineer:
Job description: Design, develop, integrate, and implement enterprise data warehouse applications, business intelligence applications, web application interfaces, and stream data applications across cloud environments. Create and deploy software applications and data processing services in production environments. Utilize SQL programming, Python, Amazon Redshift, Snowflake, AWS services, PowerBI, Tableau, Angular 8.0, PostgreSQL programming, RESTful API integrations, Apache Airflow, Git CI/CD workflows, and Agile development methodologies for enterprise application development, data-intensive solutions, and scalable business intelligence systems.
PropelSys Technologies, LLC has openings in Plano, TX Senior Database Architect:
Oversee and guide the design and review of solution documents and technical specifications. Coordinate and guide the design and development of logical and physical models of the database, AS IS analysis, defining the future state, identifying potential risks, assessing impact, and defining mitigation strategies. Perform final review and issue final approval of workflow mapping specifications documents for each functional requirement, architecture diagrams, process/data flow diagrams, sequence diagrams, and class diagrams. Oversee the design and development of complex mappings and the generation of use cases, user guides, user stories and QRCs. Perform final review and issue final approval of modifications to improve the system, ETL (Extract, Transformation and Loading) mappings to extract data, new databases, table structures and the modification of existing tables to fit into the existing Data Model. Utilize SQL Developer/Modeler, VISIO, Lookup, Expression, Update, Sequence generator, Aggregator, and Stored Procedure.
Send Resume to:
PropelSys Technologies, LLC
4975 Preston Park Blvd,
Suite # 70,
Plano, TX 75093
Software Engineer:
Design, Develop, Program, Test, create, Integrate and Implement Enterprise applications, Java, Restful Web Services, SQL, Jira ,Agile and Waterfall Methodology.
Model, Design and Work on Different kinds of testing like Regression, Functional, Sanity ,Acceptance Testing.
Actively Work in Automation to design and develop scripts.
Software Engineer:
Requirement Analysis, Estimation, Design, Develop or Create, Integrate, Test, Deployment, and Implement programs or applications including legacy applications. Design/Analyze complex data structures, build data models and data pipelines. Analyze and create reports from various data sources and stream data using various languages, tools, data science methods, and libraries. Work with Cloud Technologies like AWS and AWS Eco Systems. Utilize deliverable methodologies like Agile methodologies and Scrum.
