Technical Support Engineer

3 - 7 years

0 Lacs

Posted:11 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Location: Indore, Bangalore, Gurgaon, Noida, Hyderabad and Pune


Experience: 3-7 years


Description:

We are looking for talented Big data support engineers having experience on application production support and, passionate about technology, motivated for continuous learning and an individual who views every client interaction as an opportunity to create an exceptional customer experience.


Qualifications:

Must have:

· BE/B.Tech/MCA/MS-IT/CS/B.Sc/BCA or any other degrees in related fields


  • Experience with big data tools: Hadoop, MapReduce, Spark, Scala, Py Spark, Spark SQL, Hive, Yarn etc.
  • Experience building and optimizing big data ETL and Data pipelines, architectures, and data sets.
  • Experience with ETL and Data pipeline workflow management tools: Autosys, TWS, Airflow, etc.
  • Experience with designing complex SQL for RDBMS and Bigdata data operations.
  • Experience with working on large scale On-Premises ETL and Data servers.
  • Should be capable of working independently & responsible for L1/L2/L3 Support.
  • Customer oriented and willing to work in 24/7 shift mode.
  • Advanced working SQL knowledge and experience working with relational databases and familiarity with a variety of databases (Teradata, Vertica, Oracle, Hive etc.).
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Strong team player, proactive, good in communication and coordination.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Hive queries.


Share your updated CV on sonali.mangore@impetus.com

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