Database Architect / Engineer

Duration:   12 Months.

methods and tools.

Evaluate data to ensure it meets corporate policy, development standards, and business data requirements.

Responsible for statistical analysis, identification of data issues, and validation of data integrity.

Ability to draw insights from data, and translates those insights into actions that drive business results.

Basic Qualifications

• Demonstrated experience with developing models and data transformations in SAP HANA using Classic or Advanced XSA (preferred)

• Demonstrated experience with SQL queries and performance tuning/optimization

• Experience with GIT and Continuous Integration/ Continuous Development (CI/CD) practices

• Experience working in an Agile environment and (Jira preferred)

• Experience with using data analytics and/or visualization tools (Tableau, Business Objects BI)

• Self-motivated with strong time management capabilities and ability to adapt to shifting priorities

• Demonstrated experience with evaluating business requirements and creating supporting documentation

• Must have strong problem-solving skills and excellent oral and written communication skills

• Ability to document technical solutions in support of standards and best practices

• A Bachelor’s degree in (Data Science, Scientific, Engineering, Information Systems, Math, related discipline, or equivalent experience) and 7+ years relevant work experience as a Data Engineer

Mandatory skills:

3 Years of experience using SAP HANA environment

3 years of work Experience using performance tuning and query optimization techniques

5 years of Demonstrated SQL experience in database modeling and data transformations

5 years of working as a Data Engineer

Desired Skills

• Experience with one or more front end reporting tools including the SAP Business Objects Suite (WEBI, Information Design Tool, Central Management Console).

• Experience in Agile methodologies and tools

• Experience with data analytics and/or visualization tools

• Understanding of data governance, data security, and data quality

Shift: Day