Millipixels Interactive | Senior Data Engineer
4 weeks ago
Who we are
At Millipixels, we design impactful experiences for our clients worldwide in various domains and emerging technologies. With our primary design and development center and offices in the Chandigarh Tricity area in India, combined with FlexCampus spaces in New Delhi, Mumbai, Bangalore, and upcoming offices in the UK, Singapore, and the United States, we are on course to be a globally-relevant, distributed, full-service software solutions organization.
Working remotely from locations worldwide, our employees work with our cloud-native infrastructure and processes, untethered to a physical location. As a Remote-First organization, we ensure that our people don't have to compromise between their home and work lives by enabling our people to stay connected to their families while building fulfilling careers.
Job Overview
We are seeking a highly skilled Data Engineer with expertise in cloud data architectures, real-time and batch data services, and data operations (DataOps). The ideal candidate will have advanced proficiency in AWS, Python, SQL, and a deep understanding of relational and non-relational data modeling. You will be responsible for designing and developing scalable cloud data solutions, optimizing data workflows, and ensuring smooth integration across various cloud-based services.
Key Responsibilities:
- Architect, design, and implement cloud-based data solutions primarily on AWS to handle large-scale, high-volume data pipelines.
- Develop batch and real-time data services to support analytics, machine learning, and business intelligence needs.
- Design and implement data models for both relational (e.g., Amazon Redshift, PostgreSQL) and non-relational (e.g., DynamoDB, Elasticsearch, OpenSearch) data stores.
- Develop, optimize, and maintain ETL pipelines and data workflows using industry best practices.
- Implement DataOps principles to ensure the automation, monitoring, and reliability of data systems.
- Work closely with cross-functional teams to ensure data pipelines align with business requirements and technical constraints.
- Continuously monitor and improve the performance and scalability of cloud-based data solutions.
- Collaborate with DevOps teams to design and implement Infrastructure as Code (IaC) using CloudFormation or AWS CDK.
- Implement and manage CI/CD pipelines for automated deployments and continuous integration using Bitbucket Pipelines or Drone CI.
- Optimize cloud infrastructure and services for cost efficiency using AWS Cost Explorer and other pricing tools.
- Troubleshoot data pipeline issues, debug complex systems, and ensure the timely resolution of incidents.
- Document solutions and provide high-quality technical documentation to support long-term system maintenance and team knowledge transfer.
Required Technical Skills:
Cloud Architecture: Experience designing and deploying cloud-based data architectures on AWS.
Data Modeling: Proficiency in relational and non-relational data modeling techniques.
Programming: Advanced knowledge of Python and SQL for developing data solutions.
Cloud Services: Strong experience with AWS services including but not limited to EC2, VPC, ECS, ECR, Athena, Lambda, AppSync, Redshift, RDS, Kinesis, S3, IAM, CloudWatch, SNS, SQS, Elasticsearch, OpenSearch, CloudFront.
IaC (Infrastructure as Code): Hands-on experience with CloudFormation or AWS CDK for managing cloud resources.
CI/CD: Experience with Bitbucket Pipelines, Drone CI, or similar CI/CD tools.
Containerization: Expertise in Docker for containerizing applications.
Version Control: Proficiency in using Bitbucket or other version control systems.
Scripting: Familiarity with Bash scripting for automation and process improvement.
Essential Soft Skills:
- Communication: Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Collaboration: Strong team player, willing to collaborate closely with peers to design, develop, test, and troubleshoot solutions.
- Proactive Problem-Solving: Ability to identify potential risks and issues early and escalate them effectively.
- Documentation: High standards for maintaining clear and concise technical documentation.
- Attention to Detail: Ensuring high-quality code and system reliability through rigorous testing and documentation standards.
Preferred Qualifications:
- Experience working with real-time data streaming technologies (e.g., Kinesis, Kafka).
- Knowledge of machine learning frameworks or big data technologies.
- Familiarity with AWS Lambda and serverless architectures.
- Experience with data governance and security protocols in the cloud.
Benefits of working at Millipixels
- Work in our FlexCampus model
- Work with global clients, enhance your profile
- Medical Health Insurance - Company Paid Health insurance for ₹500,000
- Company-paid participation in Industry-specific Seminars and Events
- Regular Financial, Tax-Saving, and Healthcare Advice Sessions from Experts
- Technical Certification and Periodical Reimbursements
- Generous paid vacation (split over the course of the year)
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