Data Engineer

4 days ago

Mumbai, India TransOrg Analytics Full time

Location : Gurgaon/Mumbai Job ID : DE2008 Job Type : Full time Experience : 2-6 years Why would you like to join us? TransOrg Analytics, an award winning – Big Data and Predictive analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East. Our products – Clonizo’ (customer cloning) have yielded significant incremental benefits to our clients. We have been recognized by the CIO Review magazine as the – Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship. Overview This position is for a Data Engineer with an experience in SQL/NoSQL, Cloud, Hadoop and/or Spark platforms Responsibilities Design and implement data engineering projects. Integrate multiple data sources to create data lake/data mart Perform data ingestion and ETL processes using SQL, Scoop, Spark or Hive Knowledge of new components and various emerging technologies in on-premises and Cloud (AWS/Azure/Google) Collaborate with various cross-functional teams: infrastructure, network and database Work with various teams to setup and manage users, secure and govern platforms and data and maintain business continuity through contingency plans (data archiving etc.) Monitor job performances, manage file system/disk-space, cluster & database connectivity, log files, manage backup/security and troubleshoot various user issues Design, implement, test and document performance benchmarking strategy for platforms as well as for different use cases Setup, administer, monitor, tune, optimize and govern large scale implementations Implement machine learning models on real time input data stream Drive customer communication during critical events and participate/lead various operational improvement initiatives Education & Skills Summary 2 – 6 years relevant experience in data engineering Exposure to any or all latest data engineering ecosystem platforms such as AWS, Azure, GCP, Cloudera and Data bricks Sound knowledge of Python/Scala/Java Good knowledge of SQL / NoSQL databases and data warehouse concepts Hands on experience of working on databases such as Sql Servers, PostgreSql, Cloud infrastructure, etc. Excellent knowledge of data backup, recovery, security and integrity Sound knowledge on Spark, HDFS/HIVE/HBASE, Shell Scripting, and Spark Streaming Excellent communication skills Must be proficient with data ingestion tools like Sqoop, flume, talend, and Kafka

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