Azure Senior Data Engineer (Databricks)
NewBe an early applicantSummary
A senior data engineer builds and maintains data ingestion and transformation pipelines in Azure Databricks, validates data accuracy and quality, and troubleshoots pipeline issues. The role centers on Azure data services including Data Factory, Data Lake, Synapse, SQL, and Delta Lake in a hybrid Taguig setup.
Hybrid - Taguig 3-5 Yrs Exp Bachelor Contract
Job Description
Employee Recognition and Rewards
Employee Recognition Program
Government Mandated Benefits
13th Month Pay
Insurance Health & Wellness
HMO
Others
Office Parties
Company Equipment
Professional Development
Job Training, Professional Development
Work-Life Balance
Flexible Hours
Key Responsibilities
- Develop and maintain data ingestion pipelines in Azure Databricks.
- Perform data transformation and preparation tasks.
- Validate data accuracy, completeness, and quality.
- Troubleshoot data pipeline issues and ensure stable operations.
- Collaborate with the team to optimize workflows and improve performance.
- Work closely with cross-functional teams to support project requirements.
Required Qualifications
- 4–5 years of relevant experience in data engineering, cloud data platforms, or similar roles.
- Strong hands‑on experience with Azure Databricks.
- Experience in data ingestion and transformation in cloud environments.
- Familiarity with Azure Data Factory, Azure Data Lake, and SQL.
- Knowledge of Azure Synapse or related Azure data services.
- Experience with data validation frameworks or automated testing.
- Experience with Delta Lake (data versioning and performance optimization).
- Strong analytical and problem‑solving skills.
- Ability to work with distributed data pipelines and large datasets.
- Good communication and teamwork skills.