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Data Engineer
4 days ago
Job Description :
As a Databricks Engineer or Administrator, you'll play a crucial role in designing, building, and maintaining Databricks pipelines and infrastructure. Your responsibilities will span various areas, including data integration, pipeline development, and database management.
1. Databricks Expertise :
- Strong experience with Databricks in an AWS environment (Azure knowledge is a plus).
- Design, develop, test, deploy, and maintain data integration pipelines.
- Work with tools like Apache Spark, AWS Glue, Kinesis, and S3 for seamless data movement.
3. Python Development :
- Real-life experience in Python development.
- Utilize common Python libraries for data processing and SQL Proficiency :
- Advanced SQL skills for writing complex queries, query optimization, and debugging.
- Comfortable working with user-defined functions, views, and indexes.
5. Source Control and CI/CD :
- Experience with GitLab, Jenkins, and other continuous integration tools.
- Ensure version control and efficient deployment Distributed Systems and Pyspark :
- Familiarity with Pyspark and understanding of distributed computing.
- Ability to optimize data processing across distributed Solid SQL Background :
- A strong foundation in SQL is crucial for this position.
- Proficiency in data modeling, schema design, and performance Data Topology Understanding :
- Knowledge of data lineage, data flow, and system architecture.
- Ability to map out data pipelines and identify :
- Bachelor's degree in Computer Science, Engineering, or related field.
- Relevant certifications (e.g., Databricks Certified Associate, AWS Certified Data Analytics) are a plus
(ref:hirist.tech)
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