
Data Engineer
9 hours ago
Job Title: Data Engineer (Spark & PySpark)
About the RoleWe are seeking a highly skilled and experienced Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing, developing, and maintaining large-scale data processing systems using Apache Spark and Python.
Your primary focus will be on developing and optimizing Spark applications, ensuring high performance, scalability, and reliability. You will also work closely with our data scientists and analysts to understand their requirements and provide solutions that meet their needs.
Responsibilities- Design and develop efficient data processing pipelines using Apache Spark and Python
- Develop and maintain scalable and reliable Spark applications
- Collaborate with data scientists and analysts to understand their requirements and provide solutions
- Optimize Spark query performance and troubleshoot issues
- Work with distributed file systems such as HDFS, S3, Cassandra, and DynamoDB
- Experience with cloud services like AWS and Microsoft Azure is a plus
- Deep understanding of Apache Spark and its ecosystem
- Excellent programming skills in Python
- Experience with SQL databases such as Microsoft, Oracle, Postgres, and MySQL
- Familiarity with Hive and other data warehousing technologies
- Good understanding of distributed systems concepts such as CAP theorem, partitioning, replication, consistency, and consensus
- Ability to work in a fast-paced environment and prioritize tasks effectively
- Hive
- Spark
- SQL
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