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Data Engineer
2 weeks ago
Job Summary:
We are seeking an experienced Data Engineer with strong skills in Databricks, Python/PySpark, and Spark Streaming.
Key Responsibilities:
- Build and maintain data pipelines using Databricks and PySpark.
- Implement and manage real-time data processing with Spark Streaming.
- Collaborate with data teams to develop data solutions.
- Optimize and troubleshoot data workflows.
- Ensure data quality and integrity.
- Document data engineering processes.
- Monitor and manage data infrastructure.
Required Skills and Qualifications:
- Databricks: Hands-on experience.
- Python/PySpark: Strong proficiency.
- Spark Streaming: Mandatory experience.
- Big Data Technologies: Familiarity with Hadoop, Kafka, and Hive.
- SQL: Strong knowledge.
- Problem-Solving: Excellent analytical skills.
- Collaboration: Strong team player.
- Communication: Excellent verbal and written skills.
Preferred Qualifications:
- Cloud Platforms: Experience with AWS, Azure, or Google Cloud.
- CI/CD: Familiarity with CI/CD pipelines.
- Machine Learning: Understanding of ML concepts.
Education and Experience:
- Degree: Bachelor's in Computer Science, IT, or related field.
- Experience: 5+ years in data engineering or related role.
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