
Cloud Data Engineer
2 weeks ago
Job Title: Cloud Data Engineer
- Job Description:
- As a cloud data engineer, you will be responsible for designing and implementing large-scale distributed data systems.
- You will monitor the performance of existing projects and optimize them to meet business requirements.
- Researching and integrating new big data tools and frameworks to provide requested capabilities is also a key responsibility.
- Understanding business and data requirements and implementing scalable solutions is essential.
- Creating reusable components and data tools that help all teams in the company integrate with our data platform.
- Required Skills and Qualifications:
- 2-4 years of experience in big data technologies (Apache Hadoop) and relational databases (MS SQL Server/Oracle/MySQL/PostgreSQL).
- Proficiency in at least one programming language - Java, Python, or Scala.
- Expertise in SQL (T-SQL/PL-SQL/Spark-SQL/Hive-QL).
- Proficiency in Apache Spark, including DataFrames, DataSets, RDDs, Spark SQL/PySpark/Scala APIs, and deep understanding of performance optimizations.
- Good understanding of distributed storage (HDFS/S3).
- Strong analytical and quantitative skills, comfortable working with very large sets of data.
- Experience with integration of data across multiple data sources.
- Good understanding of distributed computing principles.
- Benefits:
- Strong analytical and quantitative skills.
- Comfortable working with large datasets.
- Good understanding of distributed computing.
- Experience with integration of data.
- Others:
- Good to have skills: experience with message queues (e.g., Apache Kafka), experience with MPP systems (e.g., Redshift/Snowflake), and experience with NoSQL storage (e.g., MongoDB).
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