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Data engineer
Data engineerPeople Prime Worldwide • Hyderabad, Andhra Pradesh, India
Data engineer

Data engineer

People Prime Worldwide • Hyderabad, Andhra Pradesh, India
30+ days ago
Job description

Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers’ experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions.

The company’s consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers’ social, environmental and economic value.

TITLE : DATA ENGINEER

LOCATION : HYDRABAD, NOIDA

EXPERIENCE : 5+

MANDATORY SKILL : AWS, Python, Pyspark

  • IMMEDIATE JOINER

5+ years of overall IT experience, which includes hands on experience in Big Data technologies.

  • Mandatory - Hands on experience in Python and Py Spark.
  • Build py Spark applications using Spark Dataframes in Python.
  • Worked on optimizing spark jobs that processes huge volumes of data.
  • Hands on experience in version control tools like Git.
  • Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
  • Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
  • Good to have knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc.
  • Have worked with columnar storage formats- Parquet, Avro, ORC etc. Well versed with compression techniques – Snappy, Gzip.
  • Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, Elasti Cache, Dynamo DB.
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    Data Engineer • Hyderabad, Andhra Pradesh, India

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