Role: Contract (6 months)
Experience: 3 - 4 years
Job Location: Singapore
Key Skills:
- Expertise in AWS services, Databricks, and/or Informatica IDMC.
- Python, Java, or Scala
- SQL and NoSQL databases
- AWS certifications, Databricks certifications, and Informatica certifications
Requirements:
- Bachelor’s degree in computer science, data engineering, or a related field.
- Minimum 4 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
- Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
- Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
- Strong knowledge of SQL and NoSQL databases.
- Familiarity with data modeling and schema design.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.
Preferred Skills:
- Experience with big data technologies like Apache Spark and Hadoop on Databricks.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with data visualization tools like Tableau or Power BI.
- Understanding of DevOps principles for managing and deploying data pipelines.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.
