- Design, develop, and maintain data processing pipelines using Apache Spark and Scala.
- Optimize Spark jobs for performance, scalability, and reliability.
- Work closely with data engineers and data scientists to implement data-driven solutions.
- Develop and maintain ETL processes to ingest, transform, and load large volumes of data.
- Perform data analysis and troubleshooting to ensure data quality and integrity.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Participate in code reviews, unit testing, and documentation.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Strong proficiency in Scala programming language.
- Hands-on experience with Apache Spark, including Spark Core, Spark SQL, and Spark Streaming.
- Experience with big data technologies such as Hadoop, Hive, and Kafka.
- Proficiency in SQL for data querying and manipulation.
- Familiarity with distributed computing principles and parallel processing techniques.
- Experience with data modeling, data warehousing, and database design.
- Strong analytical and problem-solving skills.
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Spark Scala Developer - chennai, India - RiskInsight Consulting Pvt Ltd
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