Qualifications:The ideal candidate needs to be:
- Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
- 3-6 years of experience in data engineering, preferably in large-scale enterprise environments.
- Strong proficiency in SQL, Python is mandatory.
- Hands-on experience with cloud platforms and services like Azure, Databricks, Snowflake, etc.
- Familiarity with data warehousing, data lakes, and ETL/ELT architectures.
- Technical knowledge of SAP ECC, BW, S/4HANA, HANA, and SAP Analytics Cloud is highly beneficial.
- Experience in BI/Enterprise Reporting development using tools such as Power BI, BOBJ, WEBI, etc.
- Experience in AI/ML Ops is an added advantage.
- Strong enterprise data acumen across key domains such as Finance and Supply Chain is an added advantage.
- Familiarity with Agile methodologies and practices (e.g., sprint planning, stand-ups, retrospectives).
Preferred Attributes:
- Analytical and Detail-Oriented: Excellent problem-solving skills with a keen eye for accuracy and data integrity.
- Collaborative Communicator: Strong ability to work cross-functionally, bridging gaps between technical and business teams through clear communication.
- Data-Driven Mindset: Passionate about transforming data into actionable insights to support strategic decisions.
- Resilient and Adaptable: Thrives in fast-paced, high-pressure environments, adept at multitasking and prioritizing effectively.
Experienced HireShift 1 (Malaysia)Malaysia, Penang