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Snehal (RID : 6v6vlsa7fv90)

designation   AWS Data Engineer

location   Location : Jaipur

experience   Experience : 8.5 Year

rate   Rate: $15 / Hourly

Availability   Availability : Immediate

Work From   Work From : Offsite

designation   Category : Information Technology & Services

Shortlisted : 1
Total Views : 38
Key Skills
AWS Data Engineer Spark SQL ETL
Discription
  • CAREER SUMMARY
  • • Having 8.5 years of Experience out of it First 5 years as a System Engineer and 3.8 years as a Data Engineer.
  • • Have good knowledge about HDFS, YARN and Map Reduce.
  • • Skilled in using big data technologies, such as Hadoop, Hive, Spark, SQL, Sqoop, etc. to deliver high quality data solutions.
  • • Uploaded and processed terabytes of data from various structured and unstructured sources into HDFS.
  • • Designed Internal and External tables in Hive.
  • • Good understanding of Partitioning, bucketing concepts in Hive for performance optimization.
  • • Collecting large amount of structured data using Apache Sqoop and aggregating using Hive.
  • • Results-driven data engineer with a strong background in data warehousing, ETL processes and data modelling.
  • • Collecting large amount of structured data using Apache Sqoop and aggregating using Hive.
  • • Good understanding of Data Frames in Spark.
  • • Working with programming language Python.
  • • Accomplished data engineer with a proven track record of delivering data driven insights and improve business operations.
  • • Data engineer with expertise in designing and implementing efficient data pipelines and systems.
  • • Good exposure with Agile methodology for development process.
  • • Understanding of NoSQL databases like HBase.
  • • Have experience building optimized big data pipeline using HDFS, Hive on cloud premises.
  • • Have hand on experience in data Extraction Transformation and validation.

 

 
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