Sr Data Engineer

4 semanas atrás

São Paulo, Brasil Luxoft Tempo inteiro

Before you apply, please get familiar with Luxoft
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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
Mandatory Skills Description:
+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 frameworks (e.G., Spark Structured Streaming, Flink, or similar)
Experience with cloud platforms (AWS, Azure, or GCP)
Proficiency in Python or Scala for data pipeline development
Familiarity with CI/CD pipelines (GitLab, Jenkins) and agile tools (Jira)
Exposure to data lakehouse architectures and best practices
Knowledge of data governance, security, and observability
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.

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