Data Engineer
Database Time Management Problem Solving Teamwork
Job Overview And Responsibility
- Build scalable ETL/ELT processes for structured and unstructured SAP data - Establish and maintain data lakehouse architecture and real-time integration with SAP - Collaborate with analysts and data scientists to ensure data accessibility and quality - Optimize data processing workflows to enhance performance and scalability - Implement Feature Engineering solutions for ML/AI models from SAP data
Required Skills and Experience
- Minimum 3 years of experience working with ETL/ELT and data streaming - Experience with big data technologies such as Spark, Kafka, or Databricks - Experience with at least one public cloud platform (AWS, Azure, GCP) - Strong programming skills with Python, SQL, and related data processing technologies - ETL/ELT Other: Airflow, dbt, Fivetran, Talend - Streaming: Kafka, Spark Streaming, DataFlow - Cloud: AWS (Glue, EMR), Azure (Data Factory, Synapse), GCP (Dataflow, BigQuery) - Programming languages: Python, SQL, ABAP (basic) - Data lakehouse: Databricks, Delta Lake, Snowflake - Feature Store Technologies: Feast, Tecton, or equivalent
Why Candidate should apply this position
- Competitive base salary and KPI bonus. - Attractive bonus program according to Company’s regulation. - 100% of gross offer during probation period. - Join full of insurance benefits as prescribed by Vietnamese Labor law after signing labor contract. - Young, dynamic, professional working environment with its own corporate culture. - Annually summer trip, teambuilding and company events. - CMC Healthcare programs. - 5 working days per week, from Monday – Friday. - Opportunity to self-development training, encourage creativity and innovation A team of leaders and managers who value talent, helping employees maximize their capacity.
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