Data Engineer – Databricks | AWS | Azure
# Data Engineer – Databricks | AWS | Azure **Yoda Technologies Pty Ltd** · Woodlands · `On-site` 🕒 **Статус:** *Опубликовано: 12 дней назад* · *Источник: Indeed* --- ### About the Role Data Engineer – Databricks | AWS | Azure Location: Singapore – Onsite Experience: 5+ Years Job Summary We are looking for a Data Engineer with 5+ years of experience in building scalable data solutions using Databricks, AWS, and Azure . Key Responsibilities - Develop and maintain ETL/ELT pipelines using Databricks, PySpark, Python, and SQL. - Build Lakehouse/Medallion Architecture using Delta Lake. - Work with AWS services such as S3, Glue, Athena, Redshift and Azure services such as ADLS Gen2, ADF, and Synapse . - Develop batch and real-time data pipelines and optimize Spark workloads. - Implement data modelling, data quality, governance, and performance optimization . - Manage Databricks Jobs/Workflows and production pipelines. - Implement CI/CD using Git, Azure DevOps/GitHub . - Troubleshoot production issues and collaborate with architects and business teams. Required Skills Databricks | PySpark | Python | SQL | Apache Spark | Delta Lake | AWS | Azure | S3 | Glue | ADLS | ADF | Synapse | ETL/ELT | Data Modelling | CI/CD | Git Preferred Kafka/Spark Streaming, Airflow, Terraform, Docker, Unity Catalog, CDC, and cloud certifications. Qualification: Bachelor's degree in Computer Science/IT/Engineering or related field. Requirement: Strong production experience with Databricks and cloud data platforms; willing to work onsite in Singapore . Pay: $7,000.00 - $10,000.00 per month Experience: - data engineer: 5 years (Required) - databricks: 4 years (Required) - AWS: 3 years (Required) - Azure Databricks: 2 years (Required) Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-24, источник — Indeed.