Data Science Engineer
5 days ago
About the Role:
- We are seeking an experienced engineer with hands-on knowledge of Bigdata, Scala, and Spark SQL as well as SQL/NoSQL databases.
- The ideal candidate will be proficient in Hadoop Distributed File System (HDFS), Spark, Scala, the Hadoop ecosystem, including Yarn, Hive, and Kafka.
- Highly skilled in writing Spark programs using RDD, Spark SQL, Spark Datasets, and DataFrames.
Key Responsibilities:
- Develop custom Spark jobs and Scala scripts for data transformation, aggregation, and cleansing.
- Built real-time data processing pipelines using Apache Kafka to ingest, process, and analyze streaming data.
- Managed and optimized Hadoop clusters for efficient data storage and processing.
- Optimized Spark jobs and ETL processes to improve performance and reduce processing times.
Requirements:
- 6-9 years of experience in Bigdata, Scala, and Spark.
- Exceptional expertise in complex SQL queries.
- Good experience in working with Hive, Impala, and other Hadoop ecosystem tools.
- Experience in camunda flow.
- Strong knowledge of SQL, including joins, subqueries, set operations, and advanced OLAP functions.
- Proficient in the Linux and UNIX operating systems and Unix commands.
- Experienced in Agile methodology.
A Competitive Salary:
- A competitive salary range of $120,000 - $180,000 per year.
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