Senior Data Engineer
Summary
Senior Data Engineer at Mindera in Bengaluru building scalable, fault-tolerant ETL/ELT pipelines and cloud data platforms on AWS, using Python, SQL, Apache Spark/PySpark, AWS Glue, and Airflow to power analytics, reporting, and machine learning.
🚀 Senior Data Engineer – Mindera
At Mindera, we build technology products that create meaningful business impact. We work with modern cloud technologies and encourage engineering ownership, collaboration, continuous learning, and self-organization.
Our Data Engineering teams build scalable, reliable, and high-performance data platforms that enable analytics, reporting, machine learning, and data-driven decision-making.
Requirements
🧠 What We’re Looking For
Key Responsibilities
- AWS Data Infrastructure: Design, deploy, and maintain highly available and scalable data platforms utilizing AWS-native services.
- Data Security & DevSecOps: Embed security guardrails directly into the data lifecycle. Manage encryption, data masking, network security, and secure access controls.
- Pipeline Automation (CI/CD): Build and manage automated pipelines for data infrastructure and code deployments using infrastructure-as-code.
- Orchestration & Governance: Oversee data workflow orchestration and implement real-time security monitoring, logging, and automated compliance auditing.
- R&D and Continuous Learning: Proactively research, prototype, and implement emerging AWS services and open-source data tools to solve complex infrastructure bottlenecks.
Required Skills & Qualifications
- Experience: 6+ years of professional experience in DataOps, DevOps, or Data Engineering roles, with a minimum of 4 years dedicated to the AWS ecosystem.
- Core AWS Stack: Deep hands-on expertise with AWS data and infrastructure services:
- Compute/Infra: EC2, EKS, ECS, Lambda, Terraform.
- Data/Analytics: EMR, Glue, Athena, Redshift, S3, Kinesis.
- AWS Cloud Security: Proficient in securing cloud environments using AWS IAM (least privilege), KMS (encryption at rest/in transit), VPC networking (PrivateLink, Security Groups), Secrets Manager, and AWS GuardDuty/CloudTrail for auditing.
- CI/CD & Containers: Strong experience building secure automated pipelines via GitHub Actions, GitLab CI, or AWS CodePipeline, alongside Docker and Kubernetes.
- Data Orchestration & Processing: Strong proficiency with orchestration engines (Apache Airflow/MWAA, Step Functions) and modern data tools (dbt).
- Coding & Databases: Advanced programming skills in Python and SQL, with a solid grasp of securing relational and NoSQL databases.
Benefits
We offer
- Flexible working hours (self-managed)
- Annual bonus, subject to company performance
- Access to Udemy online training and opportunities to learn and grow within the role
At Mindera we use technology to build products we are proud of, with people we love.
Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera.
We partner with our clients, to understand their products and deliver high-performance, resilient and scalable software systems that create an impact on their users and businesses across the world.
You get to work with a bunch of great people, and the whole team owns the project together.
Our culture reflects our lean and self-organisation attitude.
We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.
Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Chennai, India | Bengaluru, India
Skills
- Agile
- Airflow
- Analytics
- Athena
- Automation
- AWS
- CI/CD
- Cloud
- Cloud Security
- CloudTrail
- Data Engineering
- DataOps
- dbt
- DevOps
- DevSecOps
- Docker
- EC2
- ECS
- EKS
- GitHub
- GitHub Actions
- GitLab
- IAM
- Infrastructure as Code
- Kinesis
- Kubernetes
- Lambda
- Machine Learning
- Network Security
- Networking
- NoSQL
- Python
- Redshift
- S3
- SQL
- Terraform
- VPC
- Workflow Orchestration
As published by workable · 5 questions · 4 written answers
Basics
First name, Last name, Email, Phone, Do you have valid documentation to work in the location you are currently applying for?, Resume, Expected Salary Range
Short answers (1)
- What is your notice period?
Written answers (4)
- Can you share your experience designing and building data pipelines for analytics or machine learning projects? What types of workloads have you supported, and what challenges did you overcome?
- What is your CTC?
- Could you describe your experience working with batch and real-time data processing? What tools or technologies have you used, and how did you approach integrating these processes?
- Are you interested for contract role?
