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Senior Data Engineer
2 months ago
In this opportunity, you will work with a large-scale Media company that partners with some of the biggest firms across the globe. They are looking for a Senior Data Engineer to join their Engineering team.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using Apache Spark.
- Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions.
- Optimize Spark jobs for performance and scalability, ensuring efficient processing of large datasets.
- Troubleshoot and debug Spark job failures, ensuring data integrity and reliability.
- Implement best practices for data governance, security, and compliance within Spark-based environments.
- Stay updated with the latest advancements in Apache Spark and Big Data technologies, and propose improvements to existing frameworks.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- Proven experience working with Apache Spark for large-scale data processing and analytics.
- Proficiency in Scala or Python programming languages.
- Solid understanding of distributed computing principles and experience with Spark's RDD, DataFrame, and Dataset APIs.
- Experience with Spark SQL, Spark Streaming, and other Spark modules.
- Strong knowledge of SQL and NoSQL databases.
- Familiarity with data warehousing concepts and cloud platforms (AWS, Azure, Google Cloud).
- Excellent problem-solving skills and ability to work independently or in a team environment.
Preferred Qualifications:
- Certification in Apache Spark or related Big Data technologies.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with streaming technologies (Kafka, Flink, etc.).
- Understanding of machine learning frameworks (TensorFlow, PyTorch) and their integration with Spark.
Please apply directly or email me: benbochner@harnham.com
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