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AWS Glue, Python
Infosys

AWS Glue, Python

Infosys
3-5 Years
Early Applicant
  • Posted 10 hours ago
  • Be among the first 10 applicants

Job Description

  • Primary skills :AWS Glue-Technology->Cloud Platform->Amazon Webservices DevOps,Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew,Technology->OpenSystem->Python - OpenSystem

Key Responsibilities:

  • Design, build, and maintain ETL/ELT pipelines using AWS Glue and Python for batch and incremental data processing.
  • Develop and optimize Glue Jobs (PySpark/Python) including job parameters, bookmarks, retries, and performance tuning.
  • Implement data ingestion, transformation, and validation logic to ensure accuracy, completeness, and consistency of datasets.
  • Integrate pipelines with AWS services (e.g., S3, IAM, CloudWatch) to enable secure, observable, and scalable workflows.
  • Troubleshoot job failures, analyze logs/metrics, and implement fixes to improve stability and runtime efficiency.
  • Collaborate with cross-functional teams to gather requirements, define data mappings, and deliver well-documented solutions.
  • Follow engineering best practices including code reviews, version control, and reusable modular coding patterns. Minimum Qualifications:
  • Bachelor's degree or equivalent (e.g., BE/BTech/MSc/MCA/MTech).
  • 3–5 years of experience in data engineering, ETL development, or data integration roles.
  • Strong hands-on experience with AWS Glue and Python for building production-grade data pipelines.
  • Working knowledge of core AWS concepts including security basics (IAM), storage patterns, and monitoring.
  • Ability to debug data pipeline issues and deliver reliable solutions with clear documentation. Preferred Qualifications:
  • Experience with PySpark and distributed data processing patterns within AWS Glue.
  • Strong SQL skills and experience working with structured/semi-structured datasets (CSV/JSON/Parquet).
  • Exposure to orchestration and scheduling patterns for ETL workflows and dependency management.
  • Familiarity with data quality checks, schema evolution handling, and building resilient pipelines.
  • Experience collaborating in Agile teams and contributing to CI/CD or automated deployment practices for data jobs. Good to have skills: PySpark, Amazon S3, AWS IAM, Amazon CloudWatch, SQL

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

Key Skills

AWS Data Analytics

Amazon S3
Pyspark
AWS Glue
AWS IAM
Amazon CloudWatch
Python
Sql

About Company

Last Updated: 28-09-2026 09:23:14 PM

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