Fractal Analytics

AWS Engineer and Senior Engineer

Fractal Analytics
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over 3 years ago
Bengaluru, IndiaSenior

Responsibilities

  • Build, automate, integrate, and administer AWS data solutions, especially AWS Glue and AWS Managed Kafka.
  • Use Spark and PySpark with AWS Glue and other AWS services to develop scalable data systems.
  • Configure AWS Managed Kafka topics and manage consumer and producer controls.
  • Review and decompose an existing Java application for replacement with Mule services or Python-based Lambda services.
  • Work with AWS Athena, EMR, DynamoDB, S3, Redshift, Kinesis, Lambda, Databricks on AWS, and Snowflake on AWS.
  • Work across all phases of the software development lifecycle using software engineering principles.
  • Support large-scale client business development and delivery engagements and collaborate with global consulting professionals.

Requirements

  • Bachelor's degree in Computer Science or a related field with technology experience.
  • 3–11 years of experience, including at least 3 years of hands-on AWS Services experience.
  • Strong hands-on experience with AWS Glue, automation, integration with AWS services, and Spark.
  • Hands-on AWS Managed Kafka administration experience, including topic creation and consumer and producer control.
  • Experience with Java development and the ability to review and decompose Java applications.
  • Experience with AWS Athena, Glue PySpark, EMR, DynamoDB, S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, and Snowflake on AWS.
  • Ability to educate, train, design, and build end-to-end systems; adapt quickly; work across global teams; and understand application architectures and integration approaches.

Tech Stack

Amazon DynamoDBAmazon RedshiftApache SparkAWSDatabricksJavaPythonSnowflake

Categories

BackendData Engineering
Fractal Analytics

About Fractal Analytics

5,001-10,000 employees
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