AWS Admin, Terraform, IDQ/Atacamma and ETL

Infosys; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Infosys in Hyderabad seeks a seasoned cloud and data quality engineer to design scalable Terraform patterns and manage multi-environment deployments on AWS. You will enforce IaC standards, administer AWS resources with emphasis on security and cost control, and integrate IDQ/Ataccama checks into data workflows.

You will lead troubleshooting, automate routines, and contribute to governance and observability through dashboards and runbooks.

Qualifications

• Hands-on AWS administration and cloud operations.
• Experience in Terraform-based infrastructure provisioning.
• Familiarity with data quality tooling (IDQ/Ataccama) and data governance.
• Ability to implement security best practices and IAM controls.
• Proven track record of automation to reduce incidents and improve stability.
• Collaborates with data owners and engineers to define quality requirements.

Responsibilities

• Design scalable Terraform module patterns and multi-environment deployments.
• Enforce IaC standards and promote reusable module patterns.
• Administer AWS accounts, IAM, networking, compute, and storage with focus on security and cost.
• Integrate data quality checks (IDQ/Ataccama) into workflows and monitor quality KPIs.
• Lead troubleshooting, perform root-cause analysis, and drive fixes to completion.
• Develop operational runbooks, alerts, and dashboards for observability.
• Support governance practices across AWS and data quality tooling.
• Collaborate with stakeholders to formalize remediation workflows.

Skills

Cloud architecture

Automation & SRE

Troubleshooting

Cross-functional communication

Education

Bachelor's degree in CS/Engineering/Info Systems

Tools

Terraform

Informatica Data Quality (IDQ)

Ataccama

Job description

• Experience designing scalable Terraform module patterns, managing multi-environment deployments, and enforcing IaC standards.
• Strong knowledge of AWS security best practices (least privilege IAM, logging/monitoring, encryption, and secure networking).
• Experience integrating IDQ/Ataccama checks into broader data workflows and operationalizing data quality monitoring and reporting.
• Exposure to data governance practices such as issue management, stewardship workflows, and data quality KPI tracking.
• Demonstrated ability to lead troubleshooting efforts, reduce recurring incidents, and improve platform stability through automation and standardization.
• Administer and support AWS environments (accounts, IAM, networking, compute, storage) with a focus on availability, security, and cost awareness.
• Build, maintain, and enhance Infrastructure as Code using Terraform, including reusable modules, environment promotion, and state management practices.
• Implement and operate data quality solutions using Informatica Data Quality (IDQ) and/or Ataccama, including profiling, rule creation, validations, and monitoring.
• Partner with data owners and engineering teams to define data quality requirements, thresholds, and remediation workflows aligned to business needs.
• Troubleshoot cloud and data quality pipeline issues, perform root-cause analysis, and drive fixes through to completion.
• Establish operational runbooks, alerting, and dashboards for AWS services and data quality checks to improve observability and response times.
• Support access controls, audit readiness, and governance practices across AWS and data quality tooling.
• Contribute to continuous improvement by standardizing configurations, automating repetitive tasks, and promoting best practices across teams.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
• 5–9 years of overall experience with strong hands-on ownership in AWS administration and cloud operations.
• Proven experience using Terraform to provision and manage cloud infrastructure in AWS.
• Working experience with Informatica Data Quality (IDQ) and/or Ataccama to design and run data quality rules and validations.
• Solid understanding of data quality concepts (profiling, rule-based validation, exception handling, and reporting).
• Ability to collaborate with cross-functional teams and communicate technical issues and resolutions clearly.