AWS Data Engineer

Infosys; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading technology consulting firm in Pune is seeking an experienced Data Engineer proficient in AWS Glue and AWS Redshift. This role involves designing and managing data workflows and warehousing solutions while ensuring data quality and compliance. You will collaborate closely with analytics teams to translate requirements into efficient data models. Ideal candidates have strong AWS experience and the capability to mentor others, impacting architecture decisions in a collaborative environment.

Qualifications

• Deep hands-on experience with AWS Glue for job orchestration.
• Strong experience with AWS Redshift for query optimization and cluster management.
• Experience implementing data governance and metadata management.

Responsibilities

• Build and optimize data workflows using AWS Glue.
• Design and manage data warehousing solutions on AWS Redshift.
• Implement data quality checks and monitoring for accurate data assets.
• Collaborate with teams to translate BI requirements into data models.

Skills

AWS Glue

AWS Redshift

Data engineering solutions

Data governance

Cross-functional collaboration

Education

AWS-related certification

Job description

Responsibilities

• Build and optimize data workflows using AWS Glue, ensuring reliability, reusability, and performance of jobs and crawlers.
• Design, implement, and manage data warehousing solutions on AWS Redshift, including schema design, partitioning, and performance tuning.
• Implement data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and consistency of data assets.
• Collaborate with analytics and business teams to understand reporting and BI requirements and translate them into efficient data models and datasets.
• Apply best practices for security, compliance, and governance across AWS data services, including access control and encryption standards.
• Troubleshoot and resolve data pipeline issues, optimize job performance, and proactively improve system reliability and scalability.
• Contribute to documentation, standards, and reusable frameworks for data engineering on AWS to support team-wide efficiency and consistency.
• You will be a key contributor in designing and building robust, scalable data solutions on AWS that power analytics, reporting, and data-driven decision making.
• In this role, you will work with modern cloud-native services to create secure, high-performing data pipelines and warehouses that serve multiple business teams.
• With your experience, you will help shape best practices for data engineering, optimize performance, and ensure data reliability across the organization.
• You will collaborate closely with data analysts, data scientists, and product teams to understand their needs and translate them into efficient data models and ETL/ELT workflows.
• This is an opportunity to take ownership, influence architecture decisions, and continuously improve our data ecosystem while working in a collaborative, learning-focused environment.

Qualifications

• Deep hands-on experience with AWS Glue, including job orchestration, Glue Studio/Jobs, and integration with other AWS data services.
• Strong experience with AWS Redshift, including cluster management, query optimization, workload management, and cost/performance tuning.
• Demonstrated track record of delivering end-to-end data engineering solutions on AWS for analytics, BI, or data science use cases.
• Experience implementing data governance, metadata management, and data cataloging using AWS-native or similar tools.
• AWS-related certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect, or AWS Certified Developer) is a strong plus.
• Ability to work in cross-functional teams, communicate technical concepts clearly, and mentor junior engineers on AWS data best practices.

Equal Opportunity Statement

Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity; sexual orientation, religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.