AWS Engineer and Senior Engineer

Fractal Labs
Mumbai, Bengaluru, Gurugram, Chennai, Pune
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 3-11 yearsEducation: bachelorsSkills: ["AWS","Glue","Python","Java","Spark","PySpark","EMR","Kinesis","Lambda","DynamoDB","S3","Redshift","Databricks","Snowflake","Mule"]

AWS Data Engineer role focused on building and architecting end-to-end cloud data pipelines using AWS services (Glue, Spark, Lambda, Kinesis, Redshift, S3, DynamoDB) across SDLC. You’ll review legacy Java apps for migration to Mule or Lambda Python, work with Spark-based toolchains (Databricks/EMR), and collaborate with global consulting teams to deliver scalable data solutions for enterprise clients.

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FursaFursa
Fractal Labs
Fractal Labs
7 months ago

AWS Engineer and Senior Engineer

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Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

AWS Data Engineer role focused on building and architecting end-to-end cloud data pipelines using AWS services (Glue, Spark, Lambda, Kinesis, Redshift, S3, DynamoDB) across SDLC. You’ll review legacy Java apps for migration to Mule or Lambda Python, work with Spark-based toolchains (Databricks/EMR), and collaborate with global consulting teams to deliver scalable data solutions for enterprise clients.
Location: Mumbai, Bengaluru, Gurugram, Chennai, Pune
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •3 or more years of hands-on experience on the AWS Services, especially AWS Glue.
  • •Strong hands-on experience in AWS Glue, automation build-out, integration with other AWS services, using SPARK.
  • •Hands-on administrating skill required with AWS Managed Kafka configuration for creating topics, consumer and producer control.
  • •Need to review and decompose the existing Java application to be replaced with either a Mule service built by the Mule squad, or Lambda service in Python within the Operational Data squad.
  • •Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS

Key Requirements

  • •3 or more years of hands-on experience on the AWS Services, especially AWS Glue.
  • •Strong hands-on experience in AWS Glue, automation build-out, integration with other AWS services, using SPARK.
  • •Hands-on administering skill required with AWS Managed Kafka configuration for creating topics, consumer and producer control.
  • •Review and decompose the existing Java application to be replaced with either a Mule service built by the Mule squad, or Lambda service in Python within the Operational Data squad.
  • •Working experience with: AWS Athena and Glue PySpark, EMR, DynamoDB, AWS S3, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS.
Experience:3-11 yearsCloudAwsData engineeringSparkEtl
Education:Bachelor's
Skills:AWSGluePythonJavaSparkPySparkEMRKinesisLambdaDynamoDBS3RedshiftDatabricksSnowflakeMule
Tech Stack:AWSGluePythonSparkPySparkEMRDynamoDBS3RedshiftKinesisLambdaDatabricksSnowflakeJavaMule

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn