
Data Infrastructure Developer
2 days ago
We are seeking an experienced data platform specialist to design and implement a scalable data infrastructure using Databricks. The ideal candidate will have strong expertise in building modern data architectures, integrating diverse data sources, and enabling analytics and reporting use cases.
Key Responsibilities:
- Design, build, and maintain a robust data platform on Databricks.
- Develop efficient ETL/ELT pipelines to ingest data from various sources into Databricks Delta Lake.
- Implement real-time and batch data ingestion strategies using tools such as Kafka, Azure Event Hubs, or similar.
- Optimize data storage and processing for performance, scalability, and cost-effectiveness.
- Build data models to support BI, advanced analytics, and machine learning use cases.
- Collaborate with stakeholders to define data requirements.
- Ensure data quality, governance, and security across the platform.
- Monitor, troubleshoot, and enhance data workflows for reliability.
Required Skills & Qualifications:
- Proven experience in Databricks (Delta Lake, Spark, PySpark, SQL).
- Strong expertise in data integration from multiple sources.
- Hands-on experience with ETL/ELT pipeline development and orchestration.
- Proficiency in data modeling, data warehousing concepts, and performance tuning.
- Familiarity with real-time data streaming.
- Strong programming skills in Python and SQL.
- Experience with cloud platforms.
Preferred Qualifications:
- Experience with time-series data handling.
- Exposure to machine learning workflows within Databricks.
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