Data Engineer

3 weeks ago

Bengaluru, India TransOrg Analytics Full time
Location

: Gurgaon/MumbaiJob ID

: DE2008Job Type

: Full timeExperience

: 2-6 yearsWhy 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 platformsResponsibilities

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 HiveKnowledge of new components and various emerging technologies in on-premises and Cloud (AWS/Azure/Google)Collaborate with various cross-functional teams: infrastructure, network and databaseWork 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 issuesDesign, implement, test and document performance benchmarking strategy for platforms as well as for different use casesSetup, administer, monitor, tune, optimize and govern large scale implementationsImplement machine learning models on real time input data streamDrive customer communication during critical events and participate/lead various operational improvement initiativesEducation & Skills Summary

2 – 6 years relevant experience in data engineeringExposure to any or all latest data engineering ecosystem platforms such as AWS, Azure, GCP, Cloudera and Data bricksSound knowledge of Python/Scala/JavaGood knowledge of SQL / NoSQL databases and data warehouse conceptsHands on experience of working on databases such as Sql Servers, PostgreSql, Cloud infrastructure, etc.Excellent knowledge of data backup, recovery, security and integritySound knowledge on Spark, HDFS/HIVE/HBASE, Shell Scripting, and Spark StreamingExcellent communication skillsMust be proficient with data ingestion tools like Sqoop, flume, talend, and Kafka

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