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Day 6
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Noida, Uttar Pradesh
Actively hiring, first seen by us 6 days agoWork setup in the employer’s posting: onsiteFrom the employer’s posting
Employment type Full-time Employment
Employment type in the employer’s posting: Full-time EmploymentFrom the employer’s posting
Lead, mentor and grow a Data DevOps team
Design and run large-scale cloud and data infrastructure on AWS
Manage big data platforms such as Kafka, Spark, EMR and Airflow
Build CI/CD pipelines and infrastructure automation with Terraform and Ansible
Ensure observability, incident management and SLA adherence
Lead, mentor, and grow a high-performing Data DevOps team
Drive architecture, design, and implementation of large-scale cloud and data infrastructure
Manage and scale big data platforms leveraging Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks
Implement and maintain CI/CD pipelines and infrastructure automation using Terraform, Ansible, and CloudFormation
Ensure system observability, proactive incident management, and SLA adherence
● Excellent communication, stakeholder management, and decision-making skills. ● Exposure to SQL and data query optimization is an advantage. Why join us:
● Collaborate closely with Data Engineering, Data Science, Analytics, and Product teams to deliver efficient and reliable data platforms. ● Oversee operations and optimization of AWS-based infrastructure, including VPC, EC2, S3, EMR, EKS, SageMaker, Lambda, CloudFront, CloudWatch, and IAM. ● Manage and scale big data platforms leveraging Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks.
● Proven track record in managing high-scale big data infrastructure and leading engineering teams. ● Strong hands-on experience with AWS services and infrastructure automation tools (Terraform, Ansible, CloudFormation). ● Deep knowledge and hands-on experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker.
● Deep knowledge and hands-on experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker. ● Proficiency in Kubernetes/EKS, Docker, ECS, and CI/CD tools. ● Strong understanding of networking, cloud security, and compliance requirements.
● Oversee operations and optimization of AWS-based infrastructure, including VPC, EC2, S3, EMR, EKS, SageMaker, Lambda, CloudFront, CloudWatch, and IAM. ● Manage and scale big data platforms leveraging Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks. ● Implement and maintain CI/CD pipelines and infrastructure automation using Terraform, Ansible, and CloudFormation.
● Strong hands-on experience with AWS services and infrastructure automation tools (Terraform, Ansible, CloudFormation). ● Deep knowledge and hands-on experience with Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Jupyter Notebooks, and Looker. ● Proficiency in Kubernetes/EKS, Docker, ECS, and CI/CD tools.
● Manage and scale big data platforms leveraging Kafka, Hive HMS, Apache Ranger, Apache Airflow, EMR, Spark, Trino, Looker, and Jupyter Notebooks. ● Implement and maintain CI/CD pipelines and infrastructure automation using Terraform, Ansible, and CloudFormation. ● Ensure system observability, proactive incident management, and SLA adherence.
Paytm is India's leading mobile payments and financial services distribution company.
In the employer’s words · Read in context
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
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Day 6
Early. Similar jobs usually come down between day 7 and day 53.
From 7,814 similar postings that came down. Coming down is not always a hire.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Full-time Employment
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Noida, Uttar Pradesh
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