Must Have Technical/Functional Skill
•Strong experience with AWS data services: S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, RDS
•Proficiency in Python and SQL (Scala is a plus)
•Hands-on experience with Infrastructure as Code (Terraform / CloudFormation)
•ETL/ELT processes
•Distributed systems architectures
•Big Data & Streaming Technologies
•Experience with Apache Spark, EMR , Kafka or similar streaming platforms
•Orchestration & Workflow Management
•Familiarity with orchestration tools such as:
•Apache Airflow
•AWS Step Functions
•Or equivalent workflow automation tools
•Monitoring & Observability
•Experience integrating and managing observability tools such as:
•CloudWatch, Datadog, Prometheus, Grafana
•Data Platform & Lakehouse Exposure
•Experience working with Data Lake architectures
•Understanding of modern data platform patterns
Roles & Responsibilities
•Design, implement, and manage AWS-based data infrastructure using services such as S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, and RDS
•Build and maintain scalable, fault-tolerant data pipelines supporting both batch and streaming workloads
•Support data lake architectures and analytics platforms for enterprise use cases
•Implement Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation
•Automate infrastructure provisioning, deployments, and operational tasks via CI/CD pipelines
•Continuously improve platform efficiency through automation and standardization
•Performance Optimization & Cost Management
•Optimize data storage, compute resources, and query performance to improve cost efficiency
•Monitor and tune workloads for high availability, scalability, and performance
•Security, Governance & Compliance
•Ensure robust cloud security practices including IAM, encryption, VPC configurations, and secure access controls
•Implement logging, auditing, and compliance frameworks aligned with enterprise policies
•Enforce data governance and access control standards across platforms
•Design and implement monito ring, alerting, and observability frameworks for data platforms
•Integrate tools such as CloudWatch, Datadog, Prometheus, and Grafana
•Develop dashboards, alerts, and SLIs/SLOs to ensure system reliability and performance
•Collaborate with data engineers, analysts, and platform teams to enable analytics use cases
•Participate in architecture reviews and recommend best practices for AWS data platforms
•Provide operational support and troubleshooting for platform incidents and performance issues
Salary Range: $140,000-$150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
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