Sr. Data Engineer
2 months ago
• 5+ yrs. work experience with a Bachelor’s degree or 4+ Master’s or Advanced degree in an analytical field such as computer science, statistics, finance, economics or relevant area.
• Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, etc.)
• Experience in writing Spark and Hive code to process large data sets in Hadoop environments
• Strong experience with SQL for extracting, aggregating, and processing big data using Hadoop
• Development experience in one or more of the following: Scala, Python or Java.
• Basic experience with Unix/Shell or Python scripting
• Exposure to Scheduling tools like Airflow and Control – M will be a plus
• Experience using VCS like Git
• Basic understanding of RDBMs viz, MS SQL, DB2, Oracle, etc for data retrieval
• Understanding of Kafka, Apache Hudi is a plus.
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