
Distributed Data Processing Specialist
4 days ago
We are seeking a skilled professional to fill a challenging role in our organization.
- The ideal candidate will have at least 8+ years of experience in Scala programming language and strong knowledge of fundamental data structures.
- Design and develop large-scale, distributed data processing pipelines using Apache Spark and related technologies.
- Expertise in Spark Core, Spark SQL, and Spark Streaming.
- Familiarity with Hadoop, HDFS, Hive, and other big data technologies.
- Strong understanding of data warehousing and ETL concepts.
- Database concepts and SQL/NoSQL operations expertise.
- UNIX shell scripting for scheduling/running application jobs.
- Agile environment experience, including scrum daily standups and retrospectives.
- Strong problem-solving and analytical skills.
- Excellent verbal and written communication skills.
This position requires the ability to work in a team environment, collaborate with upstream/downstream functional teams, and identify, troubleshoot, and resolve data issues.
Key Requirements- At least 8+ years of experience in Scala programming language.
- Strong knowledge of fundamental data structures.
- Experience in designing and developing large-scale, distributed data processing pipelines using Apache Spark and related technologies.
- Expertise in Spark Core, Spark SQL, and Spark Streaming.
- Familiarity with Hadoop, HDFS, Hive, and other big data technologies.
- Strong understanding of data warehousing and ETL concepts.
- Database concepts and SQL/NoSQL operations expertise.
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