Job Details

Responsibilities

Lead data teams, guide and support decisions in terms of data strategies, architecture, modeling, and tools.
Plan and conduct Data projects.
Discovers and elicits business and data requirements.
Design and implement Data architectures on cloud or on-premises.
Develop logical data models for OLTP and OLAP processing.
Develop data pipelines for extracting, cleansing, transforming, and enhancing data.
Team-oriented attitude and the ability to work well with others to achieve a common goal.
Open to working in an agile environment as part of a scrum team.
The ability to take the initiative, drive the project and innovate.
Having a proactive attitude towards solving problems.
Good client-facing skills.

+5 years of experience in SAP BW 7.5, BW on HANA, and BW4HANA
+2 years of experience in SAC (SAP Analytics Cloud)
At least 2 SAP BW full life cycle development experiences from design through implementation with ECC/S4HANA as the source system.
Strong hands-on experience in data integration and extraction techniques between SAP ECC, S/4 HANA, BW, and BW/4HANA systems.
+5 years of experience in Data Engineering.
Some experience leading IT projects and stakeholders management.
Experience implementing ETL/ELT process and Data pipelines.
Experience with Snowflake.
Strong SQL scripting experience.
Proficiency in a programing language such as Python.
Background and experience with cloud data technologies and tools.
Familiar with data tools and technologies like:
- Spark, Hadoop, Apache beam, Dataproc or similar.
- BigQuery, Redshift, or other Data warehouse tools.
- Real-time pipelines with Kinesis or Kafka.
- Batch processing.
- Serverless processing.
English level from B2.