Description

You will design and implement data integration applications and end-to-end data architectures.

Responsibilities

• Build marketing data integration applications including CDP, CRM, and data middleware.
• Design and implement ETL pipelines and data processing workflows for big data integration, cleansing, and modeling.
• Lead architecture planning, requirement interviews, and technical feasibility assessments for data warehouses and integration platforms.
• Conduct proof-of-concept studies to research and validate new data technology tools.
• Collaborate with client data departments in retail, finance, telecommunications, and e-commerce to provide technical solutions.

Required Skills

• 5+ years of experience in data engineering development and data platform technologies.
• Proficiency in Java or Python.
• Strong command of SQL syntax and relational databases.
• Hands-on experience with ETL tools such as Trinity, SSIS, SAS, Cloud Data Fusion, Dataproc, AWS Glue, or Databricks.
• Experience with open-source ETL tools including Airflow, NiFi, dbt, Apache Beam, or Apache Flink.
• Proven ability in technical architecture planning, data flow design, and data storage evaluation.
• Knowledge of CI/CD, DevOps, MLOps, infrastructure as code, containerization, and virtualization.
• Ability to perform on-site client service as required.

Preferred Skills

• Practical experience in data architecture and analysis within the retail, finance, telecommunications, or e-commerce sectors.

Key Skills

Education

Any Graduate