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Aws Data Engineer @ NA

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NA  Aws Data Engineer

Job Description

Cloud and AWS Expertise:

  • In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena.
  • Strong understanding of cloud architecture and best practices for high availability and fault tolerance.

Data Engineering Concepts:

  • Expertise in ETL/ELT processes, data modeling, and data warehousing.
  • Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark.
  • Proficiency in handling structured and unstructured data.

Programming and Scripting:

  • Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development.
  • Expertise in working with data warehousing solutions like Redshift.

Job Classification

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

Contact Details:

Company: NA
Location(s): Hyderabad

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Keyskills:   Pyspark Redshift Aws EMR Aws Glue SQL Python

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