SAP HANA developer - Data Engineer

The SAP HANA Developer performs a wide range of job duties utilizing technical know-how and developing an analytics product that will generate insights into customer journeys. Maintains a very hands-on focus for technology matters combined with an affinity for solving complex technical issues, enabling tools for self-service data analyst community and delivering projects on time with high quality.
Responsibilities:
• Provide the creation of useful models to communicate current state, future state, and gap definitions in support of decision-making processes.
• Consult in the refinement of existing models, adding new ideas to make the result more flexible and more tightly linked to current and expected requirements
• Participates in project requirements reviews, conceptual modeling, discovery processes, technical design reviews, and project meetings in order to provide appropriate guidance that influences toward positive business outcomes.

Qualifications:
• 7+ years’ experience with strong SAP S4/HANA, HANA Modeling, SQL Skills, and big data with enterprise data warehousing experience
• Strong SAP HANA data modeling and performance optimization skills
• Ability to design, develop, and migrate data analytics solutions by sourcing data from SAP ECC, S/4 HANA, and SAP Data archival systems.
• Experience with S4/HANA migration initiatives and exposure to SAP OCM/SOM modules is a plus.
• Experience working with cross-functional teams to manage the impact of SAP ECC to S/4HANA migration on analytics reporting for sales, bookings, finance, and subscription business areas.
• Strong experience on SQL and PLSQL skills.
• Ability to design, develop, and test ETL solutions, including modeling data warehouse metadata and automating data loading processes.
• Experience with big data technologies like Azure and Data Bricks is a plus.
• Experience with reusable ETL frameworks, Python and PySpark with Data bricks implementation is a plus.
• Experience monitoring, troubleshooting and tuning services and applications and operational expertise such as good troubleshooting skills, understanding of systems capacity, bottlenecks, and basics of memory, CPU, OS, storage, and networks.
• Bachelor’s degree in computer science, Information Science, Information Technology or Engineering or a related Field.

Employee Value Proposition (EVP)

Ability to learn and have exposure to various different teams.

• MS in Computer Science / related technical field with 7 to 10 years of strong hands-on experience in enterprise data warehousing / big data implementations & complex data solutions and frameworks
• Must have strong experience working in HANA data environment
• Strong demonstrated skill working with SQL programming
• Strong experience in Hadoop, Databricks, and Spark.

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