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Revrr - Data Engineer - Scala/Spark
4 weeks ago
Company : Revrr Technologies
Employment Type : Full-Time
Role : Software Development Engineer
Position : Developer, Senior Developer, and Lead Developer
Project : Maps and Advertising Platforms Product
Experience: Sr SDE: 4-8 Years
Key Skills : Spark Core/Streaming with Any programming language Scala/ Java/ Python, Good Understanding of Data Structures, Algorithms, Data Transformation, Data Ingestion, Optimization mechanism/techniques, Good understanding of Big Data (Hadoop, MapReduce, Kafka, Cassandra) Technologies, Strong in Logical and problem solving skills
Key Qualifications :
- Minimum 3+ years of working experience in Big Data platforms and building large-scale distributed systems with high availability.
- Experience in developing Spark Applications using Spark RDD API, Spark-SQL, Spark GraphX API, Spark Streaming API, Spark Mlib API, and Data frames APIs
- Should have broad knowledge of Spark Advantages, Spark Workflows, How to write Spark Jobs, Spark Workflows, Spark query tuning and performance optimization.
- Solid in Data Structures, Algorithms basics and Should have good hands-on experience with any - one programming language (Scala/ Java8 - 1st Preference OR Python - 2nd Preference OR Java - 3rd preference) and Strong investigative and problem-solving skills
- Data Ingestion, Optimization Techniques, Data Transformation and aggregation pipeline design/development knowledge is required.
Roles & Responsibilities :
- Create new, and maintain existing Scala/Spark jobs for data transformation and aggregation from simple to Complex Data transformations involving structured & unstructured data.
- Produce unit tests for Spark transformations and helper, performance optimization methods.
- Develop data processing pipelines, data storage, and management architecture.
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