Distributed Systems Engineer

Job Description :

• 5.5- 7.5 Years of in Big Data & Data related technology experience
• Expert level understanding of distributed computing principles
• Expert level knowledge and experience in Apache Spark
• Hands on programming with Python
• Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
• Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
• Experience with messaging systems, such as Kafka or RabbitMQ
• Good understanding of Big Data querying tools, such as Hive, and Impala
• Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
• Good understanding of SQL queries, joins, stored procedures, relational schemas
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Knowledge of ETL techniques and frameworks
• Performance tuning of Spark Jobs
• Experience with native Cloud data services AWS or AZURE Databricks,GCP.
• Ability to lead a team efficiently
• Experience with designing and implementing Big data solutions
• Practitioner of AGILE methodology

NOTE : 5 Days working from Baner / Kharadi location and 3- 11 pm ist shift (shift allowance will be given).