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WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

·         Love for coding: A fanatic about writing beautiful and scalable code.

·         A sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.

·         Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 

·         Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.

·         Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

·         BE/BTech in Computer Science or related field. 

·         5+ years of professional production and development experience with leading-edge server and database technologies (e.g., Python, Java, Node.js, Scala, Spring Boot, MySQL, and NoSQL databases).

KEY SKILLS

·         Strong computer system analysis and design skills in current methodologies and patterns Experience with professional production cloud (AWS preferred).

·         Experience with RESTful Services and APIs.

Job Description

The selected candidate should have minimum 18+ years of delivering SAP projects and min 3+ years of leadership role experience. This role will report to SAP Practice Delivery head and take care of SAP delivery for a market unit at Wipro. A Key member of the practice delivery leadership team for delivering all SAP technology solutions ensuring a sustainable and profitable growth with right level of customer satisfaction. 

Responsibilities:

• Customer stakeholder management
• Collaborate with sales and pre-sales team to ensure a deliverable solution offerings with right price
• Manage all SAP projects & associated processes 
• To manage and engage a large and diverse team and partners
• Manage SAP practice operations including workforce management
• Continues improvement & innovation in delivery models
• SAP capability building and workforce transformation
• Spearheading revenue portfolio of $100M+ (Must)
• Handling FTE of 1000+ resources (Must)

• Relevant domain experience in Sales & Distribution SAP SD / SAP LE (Sales Order processing, Pricing and Conditions, Availability check and Requirements, Credit Management, Output determination, Foreign Trade/Customs, Billing, Shipping and Transportation)
• Experience of supporting medium/large scale Support / implementation / SAP ECC on HANA .
• Worked with SAP SD  and HCM.Having experience in S4 HANA implementation.
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What You’ll Do:

• Enable and exercise your problem solving and analytical skills.
• Design and develop Java/J2EE based full stack software components including complex modeling, MVC based UI, etc.
• Ensure applications are implemented to meet business and technical requirements.
• Work with high performing engineering teams across global locations.

.What You Need to Be Successful:

• Bachelor’s degree in Computer Science or equivalent.
• Solid 5-10 years hands-on design and coding experience.
• Familiarity with Agile development, JSF/Primefaces, JPA/Hibernate, Spring, ActiveMQ.
• Strong object-oriented design, Java/J2EE and MVC architecture based programming skills.
• Solid relational DBMS skills using MySQL, or other RDBMS products.
• Desirable - Experience in Big Data Technologies (Hadoop, ElasticSearch, Kafka, MongoDB, etc.)
• Nice to have - Real-world experience in large scale, and high availability implementations.
• Experience developing web services using REST and SOAP approaches.

AWS Data Engineer:

Job Description

• 3+ years of experience in AWS Data Engineering.

• Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data

• Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)

• Should have knowledge in SQL and NoSQL programming languages.

• Have worked on batch and real time pipelines.

• Excellent programming and debugging skills in Scala or Python & Spark.

• Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.

• Must have experience in Production migration Process

• Nice to have experience with Power BI visualization tools and connectivity

Roles & Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications

• Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.

• Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.

• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.