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Databricks + Pyspark

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Job Description

AIA - Chennai Weekend Drive - 07th Feb 2026

Skill - AWS Glue

Experience- 6 To 12 Years

Location - Chennai - Face to Face

Responsibilities

  • Design and implement scalable data architectures using AWS Glue Databrew and Spark Optimization to enhance data processing efficiency.
  • Oversee the deployment of AWS Cloud Formation templates to automate infrastructure provisioning ensuring consistency and reliability.
  • Provide expertise in AWS CloudWatch for monitoring and logging ensuring system performance and availability.
  • Optimize data storage solutions using Amazon Redshift and Amazon S3 ensuring cost-effectiveness and scalability.
  • Lead the development of ETL processes using AWS Glue Studio and AWS Glue ETL to streamline data integration and transformation.
  • Collaborate with cross-functional teams to ensure seamless integration of data solutions within the AWS cloud environment.
  • Conduct performance tuning and optimization of Apache Spark applications to improve processing speed and resource utilization.
  • Develop and maintain documentation for data architectures and processes ensuring clarity and accessibility for team members.
  • Evaluate and recommend new technologies and tools to enhance data processing capabilities and support business objectives.
  • Ensure data security and compliance with industry standards and regulations safeguarding sensitive information.
  • Provide technical guidance and support to team members fostering a collaborative and innovative work environment.
  • Analyze and resolve complex technical issues ensuring minimal disruption to data processing operations.
  • Contribute to the continuous improvement of data solutions aligning with the companys strategic goals and societal impact.

Qualifications

  • Possess strong expertise in AWS Glue Databrew Spark Optimization and related AWS services.
  • Demonstrate proficiency in AWS Cloud Formation AWS CloudWatch and Amazon Redshift.
  • Exhibit experience in AWS Glue Studio AWS Glue ETL and Amazon S3 for data integration and storage.
  • Have a solid understanding of Apache Spark and its optimization techniques.
  • Experience in the Provider domain is a plus.
  • Ability to work effectively in a hybrid work model with a focus on day shifts.
  • Strong problem-solving skills and a proactive approach to technical challenges.

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About Company

Job ID: 141677637

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