
Distributed Data Systems Engineer
2 weeks ago
**Job Title:** Data Engineer II
We are looking for a skilled and experienced Data Engineer to join our team. In this role, you will design, execute, and manage large and complex distributed data systems.
**Responsibilities:
- Design, execution and management of a large and complex distributed data systems.
- Monitoring of performance and optimizing existing projects.
- Researching on and integrating any Big Data tools and frameworks required to provide requested capabilities.
- Understanding Business/Data requirements and implementing scalable solutions.
- Creating reusable components and data tools which help all the teams in the company to integrate with our data platform.
**Requirements:
To be successful in this role, you should have:
- 2 to 4 years of experience in big data technologies (Apache Hadoop) and relational databases (ms sql server/oracle/MySQL/postgres).
- Proficiency in at least one of the following programming languages - Java, Python or Scala.
- Expertise in SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
- Proficiency in Apache Spark. Hands on knowledge of working with Data Frames, Data Sets, RDDs, Spark SQL/PySpark/Scala APIs with deep understanding of Performance Optimizations.
- Good Understanding of Distributed Storage (HDFS/S3).
- Strong analytical/quantitative skills and comfortable working with very large sets of data.
- Experience with integration of data across multiple data sources.
- Good understanding of distributed computing principles.
Preferred Skills:
Experience with Message Queues (e.g., Apache Kafka), MPP systems (e.g., Redshift/Snowflake) and NoSQL storage (e.g., MongoDB).
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