Job Location: Hyderabad/Secunderabad

• Education: Bachelors degree

Candidate should be able to:

• Work closely with our QA Team to ensure data integrity and overall system quality
• Work closely with Technology Leadership, Product Managers, and Reporting Team for understanding the functional and system requirements
• Write Shell/Python scripts for jobs scheduling and data wrangling
• Write Scoop Jobs to Import/Export data from Hadoop
• Enhance existing Spark and Java applications, and provide support
• Generate data reports using HiveQL, Spark SQL or PySpark
• Develop greenfield data applications using Spark, Java, Python, JDBS/ODBC, and other Hadoop/BigData technologies
• Design and develop Cloudera HDFS-based solutions using Spark (with interfaces Java, Python, and Spark SQL), Hive QL, Flume, Talend, IBM MQ, and Kafka

Candidate should have:

• Ability to identify problems, and effectively communicate solutions to peers and management
• Strong debugging skills to troubleshoot production issues
• Experience in working with real-time data feeds
• Understanding of Data architecture, replication, and administration
  Familiarity with Linux OS
• Exposure to RDBMS: Microsoft SQL Server, Oracle, DB2
• Comfortability working in a team environment
• AWS Cloud Analytics experience
• Must have 5+ years of experience in using Hadoop/BigData technologies like Spark, Spark SQL, Hive, Flume, Parquet, and Avro file formats, Sqoop, etc.
• Must have 5+ years of experience in developing applications using Java, Junit, Maven, and its eco-system
• Must have 2+ years of experience in developing Shell/Python scripts
  BS/BA degree in Computer Science, Information Systems or related field
• Microsoft SQL
• Oracle RDBMS
• Spark
• Spark SQL
• Hive
• Flume
• Parquet
• Avro
• Sqoop
• Java
• Junit
• Maven
• Python
• Shell Script

Apply Here

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