Senior Data Engineer

Mindera

. Design, deploy, and maintain highly available and scalable AWS-native data platforms .

Posted 10/27/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing and maintaining AWS-native data platforms, with a strong focus on security, automation, and orchestration. Proficient in leveraging AWS services and tools to support data-driven decision-making and analytics.

Highest-signal resume keywords

AWS Data Services ExpertiseCI/CD Pipeline ManagementData Security ImplementationPython ProgrammingDataOps Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS EC2AWS EKSAWS ECSAWS LambdaTerraformAWS GlueAWS RedshiftAWS S3AWS KinesisSQL

Soft Skills

CollaborationAgile MethodologiesProblem-Solving

Tools & Technologies

GitHub ActionsGitLab CIAWS CodePipelineDockerKubernetesApache AirflowDbt

Industry Keywords

DataOpsDevOpsData EngineeringData Lifecycle SecurityReal-Time Monitoring

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSDockerEC2KubernetesNoSQLPythonSQLTerraform

About the role

Key responsibilities & impact

Design, deploy, and maintain highly available and scalable AWS-native data platforms
Embed security guardrails into the data lifecycle
Manage encryption, data masking, network security, and secure access controls
Build and manage automated CI/CD pipelines for data infrastructure and code deployments using infrastructure-as-code
Oversee data workflow orchestration
Implement real-time security monitoring, logging, and automated compliance auditing
Research, prototype, and implement emerging AWS services and open-source data tools
Build scalable, reliable, and high-performance data platforms supporting analytics, reporting, machine learning, and data-driven decision-making
Collaborate in a self-organised, Agile, and Lean environment

Requirements

What you’ll need

6+ years of professional experience in DataOps, DevOps, or Data Engineering roles
Minimum of 4 years dedicated to the AWS ecosystem
Deep hands-on expertise with AWS data and infrastructure services, including EC2, EKS, ECS, Lambda, Terraform, EMR, Glue, Athena, Redshift, S3, and Kinesis
Proficiency in AWS IAM, KMS, VPC networking, PrivateLink, Security Groups, Secrets Manager, AWS GuardDuty, and CloudTrail
Strong experience with GitHub Actions, GitLab CI, or AWS CodePipeline
Experience with Docker and Kubernetes
Strong proficiency with Apache Airflow/MWAA, Step Functions, and dbt
Advanced programming skills in Python and SQL
Solid grasp of securing relational and NoSQL databases

Benefits

Comp & perks

Flexible working hours (self-managed)
Annual bonus, subject to company performance
Access to Udemy online training
Opportunities to learn and grow within the role
Collaborative, self-organised Agile and Lean working environment
Shared team ownership of projects