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Cloud Data Engineer @ Sudhakar Nagoji

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 Cloud Data Engineer

Job Description

Role & responsibilities

  • 5+ Years of Expertise in Hive QL, Python programming, experience with Spark, Python, Scala and Spark for big data processing and analysis.
  • 5+ Years of Strong proficiency in AWS services, including AWS Glue, Redshift, EMR, RDS, Kinesis, S3, Athena, DynamoDB, Step Functions and Lambda.
  • Fair experience with any Visualization Tools such as Tableau or PowerBI is a plus
  • 2+ years of experience with ETL technologies such as Informatica Powercenter or SSIS coupled with most recent 2-3 years of cloud ETL technologies
  • 2+ years of experience in dealing with data pipelines associated with modern data platforms such as Snowflake or Databricks with Pyspark/ Snowpark
  • Exposure to Data Virtualization tools such as Starburst or Denodo is a plus
  • Strong problem-solving skills and the ability to optimize and fine-tune data pipelines and Spark jobs for performance.
  • Experience working with data lakes, data warehouses, and distributed computing systems.
  • Experience with Modern Data Stack and Cloud Technologies is a must.

Job Classification

Industry: Financial Services
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Sudhakar Nagoji
Location(s): Bengaluru

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Keyskills:   Data Engineering Power Bi Tableau AWS Python

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Sudhakar Nagoji

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