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Acesoft Labs seeks an SAP Global COUPA Technical/Functional Lead in Bangalore with 10+ years in data engineering and 3+ years in a technical lead role. The candidate should have deep expertise in Coupa, Ariba, SAP, and modern front-end technologies, with strong SQL, Python, Java, and cloud experience.
Role requires hands-on development, scalable data warehousing, APIs, and DevOps/CICD pipelines, with a shift aligned to 1:30-10:30 PM IST. Immediate notice period preferred.
Hi all,
We are hiring for the role SAP Global COUPA Technical/Functional Lead
Experience: 6+ years & 10+ Years
Location: Bangalore
Notice Period: Immediate - 15 Days
Shift Timings: 1:30- 10:30 PM
Mandatory Skills:
Coupa, configuration, Procurement, integration testing, sap, solution design, Ariba, Python, Java, Spark, Kafka, SQL, AWS
We are looking for a candidate with 10+ years of experience in a in Data Engineering with at least 3+ years in a Technical Lead role.
Bachelors degree in computer science, information systems, computer engineering, systems analysis or a related discipline, or equivalent work experience
10+ years of experiences building enterprise, SaaS web applications using modern Javascript frameworks technologies such as ReactJS, Typescript and strong knowledge of Javascript, CSS, HTML5
Experience with programming languages such as Python and Java. Expertise in Python is a must.
Hands on experience building responsive UI, Single Page Application, reusable components, with a keen eye for UI design and usability
Proven track record of leading and building high impact, large scale Web Applications with focus on scalability, high performance and quality
Experience with web-accessibility/WCAG standards, i18n best practices, cross browser compatibility and performance
Passion for keeping up with the latest trends in the Frontend developer community and eagerness to bring in the outside-in thinking in the products we build
Experience with DevOps/CICD pipelines
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Expertise in processing and analyzing large data workloads
Experience in designing and implementing scalable Data Warehouse solutions to support analytical and reporting needs.
Experience with API development and design with REST or GraphQL. Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
Experience with big data tools: Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases.
Experience with data pipeline and workflow management tools.
Experience with AWS cloud services.
Shift Timings: 1:30- 10:30 PM