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Data Engineer

2 months ago


San Jose, United States Amtex Systems Full time

Position: Data Engineer with SAP HANA Native

Location: San Jose, CA- 2-3 days Onsite

Duration: 12+ Months

Key Skill:

SQL Expertise, SQL Query writing, SQL Structures

Hana Modeling - Calculation Views

ECC / S4H Knowledge

Business objects Designer / Data Services as a ETL tool

Not worried about BI skills, Even if the candidate has good exp with SQL and slight exp in SAP ECC, S4H the HM is willing to consider them

Not looking for any cloud exp.

The Challenge:

The SAP HANA Developer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into customer journey. 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.

Who you are:

You have the ability to work independently, prioritize individual work load, troubleshoot and remedy problems under pressing deadlines and with minimal need for escalation

You exercise good judgment and a pragmatic approach to delivering solutions that optimizes architecture activities across company needs, business constraints and varying technological realities

Document and demonstrate solutions by developing design documentation, code comments, presentations and code execution.

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 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.