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ExlService Holdings - AWS Data Engineer - ETL/Python (5-10 yrs)

5-10 years

ExlService Holdings - AWS Data Engineer - ETL/Python (5-10 yrs)

Exl India

posted 14hr ago

Job Role Insights

Flexible timing

Job Description

Responsibilities :

- Design, develop, and maintain large-scale data pipelines using AWS services such as Glue, Lambda, S3, and Redshift.

- Architect and implement data solutions in AWS Redshift for optimized data storage and retrieval.

- Build, automate, and monitor data workflows using AWS Step Functions and CloudFormation using templates.

- Set up and manage AWS Lake Formation and Glue Data Catalog for data lake environments.

- Develop and optimize ETL processes using Python and PySpark to process and transform large datasets.

- Implement data governance and security frameworks using AWS IAM and ensure compliance with organizational policies.

- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into scalable solutions.

- Troubleshoot, optimize, and enhance existing data pipelines and architecture for performance and scalability.

- Implement best practices for data governance, security, and quality across the AWS infrastructure (PaaS).

Required Skills :

- 5+ years of experience in data engineering with a focus on AWS.

- Strong expertise in Python, PySpark, and SQL for building and optimizing ETL pipelines.

- In-depth knowledge of AWS Glue, Lambda, S3, Redshift, and AWS Step Functions.

- Hands-on experience with AWS CloudFormation using templates for infrastructure automation.

- Proficiency in AWS Lake Formation and Glue Data Catalog for data lake management.

- Strong understanding of IAM (Identity and Access Management) for securing AWS environments.

- Experience with performance tuning, data modeling, and query optimization in AWS environments.

- Advanced skills in implementing data security, governance, and compliance in cloud infrastructures.

Good to Have Skills :

- Experience with setting up CI/CD pipelines for data workflows.

- Knowledge of AWS cost optimization practices.

- Familiarity with additional AWS services such as Athena, DynamoDB, or RDS.

Note :


This role emphasizes advanced skills in Python, PySpark, SQL, PaaS, IAM, CloudFormation , Lake Formation, and Redshift. If your expertise aligns with these technologies, we look forward to receiving your application!


Functional Areas: Other

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What people at Exl India are saying

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based on 1.6k employees
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Flexible timing
Monday to Friday
No travel
Day Shift
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Free Transport
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