Job Title: Senior SAP ABAP and EWM Consultant Work Experience: 15+ years Remote. Long Term. Contract. Timing: 2.30 PM 11.30 PM IST. Job Summary: We're seeking a highly experienced SAP ABAP and EWM Consultant to lead our SAP development and implementation efforts with around 15 years of expertise in SAP. The candidate should have a strong background in SAP ABAP programming, SAP workflow and SAP Extended Warehouse Management (EWM). SAP ABAP on HANA is an added advantage. This role requires a deep understanding of SAP technologies, business processes, and industry best practices. Key Responsibilities: SAP ABAP Development: Design, develop, and implement SAP ABAP programs, including reports, interfaces, conversions, ABAP proxies and enhancements in SAP modules like MM, SD, FI etc. Experience in SAP smartforms and adobe forms to build, design and troubleshoot issues. Design and implement object-oriented concepts, leveraging SAP HANA’s capabilities for improved performance like code pushdown, performance tuning techniques etc. Experience in SAP Workflow to design and develop solutions to meet business requirements and align with best practices. Experience in troubleshooting and resolving workflow issues including debugging and error handling. SAP EWM Implementation: Implement and configure SAP EWM solutions to meet business requirements and develop custom RF screens and integrate with mobile devices. Should be able to single handedly collaborate with cross-functional teams to gather requirements and deliver scalable solutions. Ensure adherence to SAP best practices and coding standards. Analyse business processes and identify opportunities for improvement through SAP technology. Develop and execute test plans to ensure solution quality and reliability. Create and maintain technical documentation for SAP solutions. Excellent communication and interpersonal skills, with ability to work effectively and independently. Experience in handling upgrade projects. Knowledge and hands-on experience in OData. Knowledge on CDS views and AMDP. Knowledge of handling web services using SOA manager. Exposure to SAP RAP, BTP, Restful API and CPI monitoring is a plus.

Role: Ansible Developer Location: Bangalore. Duration: 6 Months Contract. Description: Ansible developer position in Bengaluru open as part of the existing Automation team. Responsibilities: Develop and maintain Ansible playbooks to automate deployment, configuration, and management of infrastructure and applications. Utilize version control systems like Git to manage code repositories and collaborate effectively with other team members. Conduct testing and debugging of developed playbooks to ensure high-quality deliverables, including unit tests, integration tests, and end-to-end tests. Document technical specifications, processes, and procedures related to the developed content.- Gather requirements from Procedure Owners and propose technical automation solutions.- Perform effort estimation, peer review of developed automation scripts as well as unit test results. Requirements: Strong understanding of Ansible and experience in developing Ansible playbooks. Knowledge of version control systems, such as Git, and experience in managing code repositories. Familiarity with CI/CD concepts and tools like GitHub Actions.- Hands on development experience with Shell, Bash, PERL. Proficiency of working in JIRA tool. A good understanding of Linux/Unix systems administration. Experience in designing and implementing automated tests. Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve issues efficiently. Excellent communication and teamwork abilities, with a willingness to collaborate with cross-functional teams. Ability to work independently and take ownership of assigned tasks, while also being open to learning from experienced team members. samson.antony@solgenie.com

Sr Data Engineer Tenure: Min. 3 months (potential for extension) Contract. Remote. We are seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. RESPONSIBILITIES Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt) Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling) Familiarity with dbt Labs and modern ELT/analytics engineering practices Experience working with structured, semi-structured, and unstructured data

Java Engineer: Tenure: min 3 months (potential for extension) Contract. Remote. Technical Experience: 4+ Years of experience of developing code in a fast-paced environment with strong proficiency in Java (preferably with Spring Boot, microservices architecture, and RESTful APIs). Build distributed systems that deal with user concurrency, reactive programming, distributed in-memory data grids, messaging. Experience with Agile software development (e.g. SCRUM or KANBAN) Experience in a CI/CD environment Experience in working with REST, Micro-services, Docker, Kubernetes and other API backend Basic Experience with relational and non-relational data stores, such as MS SQL Server, MongoDB and PostgreSQL