
Lead Data Infrastructure Specialist
4 days ago
We are seeking an experienced Senior Data Engineer to design, develop and maintain data pipelines that extract data from various sources via APIs, process and store it in a cloud-based lakehouse platform.
Key Responsibilities:- Design and implement end-to-end pipelines from API extraction into the Databricks Lakehouse platform.
- Develop efficient ETL/ELT processes in Databricks (PySpark, Delta Lake) to transform, cleanse and enrich data.
- Build and maintain data flows from Databricks into Oracle EPM to support business intelligence, forecasting and planning.
- Ensure data quality, consistency and governance across all systems.
- Optimize pipeline performance, scalability and reliability.
- Collaborate with cross-functional teams to meet business needs.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering or related field.
- 5+ years of experience in data engineering, ETL/ELT and data pipeline development.
- Hands-on experience with Databricks (PySpark, Delta Lake, MLflow).
- Strong experience with APIs for data extraction and integration.
- Proficiency in SQL, Python and Spark for data processing.
- Experience with cloud platforms for hosting Databricks and related services.
- Knowledge of data modeling, data governance and performance tuning.
- Strong problem-solving skills and ability to work in cross-functional teams.
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