Job Description
**Project description**:
We are seeking a skilled and hands-on Data Engineer with proven experience in Databricks, Apache Kafka, and real-time data streaming solutions.
**Responsibilities**:
- Design and implement scalable data pipelines using Databricks and Kafka
- Build and maintain real-time streaming solutions for high-volume data
- Collaborate with cross-functional teams to integrate data flows into broader systems
- Optimize performance and reliability of data processing workflows
- Ensure data quality, lineage, and compliance across streaming and batch pipelines
- Participate in agile development processes and contribute to technical documentation
**Skills**:
Must have
- +5 years of experience in data engineering roles
- Proven expertise with Databricks (Spark, Delta Lake, notebooks, performance tuning)
- Strong hands-on experience with Apache Kafka (topics, producers/consumers, schema registry)
- Solid understanding of streaming framewo...
We are seeking a skilled and hands-on Data Engineer with proven experience in Databricks, Apache Kafka, and real-time data streaming solutions.
**Responsibilities**:
- Design and implement scalable data pipelines using Databricks and Kafka
- Build and maintain real-time streaming solutions for high-volume data
- Collaborate with cross-functional teams to integrate data flows into broader systems
- Optimize performance and reliability of data processing workflows
- Ensure data quality, lineage, and compliance across streaming and batch pipelines
- Participate in agile development processes and contribute to technical documentation
**Skills**:
Must have
- +5 years of experience in data engineering roles
- Proven expertise with Databricks (Spark, Delta Lake, notebooks, performance tuning)
- Strong hands-on experience with Apache Kafka (topics, producers/consumers, schema registry)
- Solid understanding of streaming framewo...
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