Senior Data Engineer Freelance Position
Budget: ₹37,500 – ₹75,000 INR
Hiring: Senior Data Engineer (Freelance | Immediate Joiners Preferred)
Job ID: GKS2105_4
Client: Ksolves (Check duplicacy if interviewed within last 6–12 months)
We are looking for 2 strong Senior Data Engineers for a freelance opportunity.
Role Details:
Experience: 6+ Years
Budget: ₹70,000 per month
Work Mode: Work From Home
Engagement Type: Freelance (You can work on multiple jobs; no restrictions as long as deliverables are completed on time)
Interview Process: AI Interview + L1 + 2 Customer Rounds
Key Responsibilities:
- Design and build scalable, multi-tenant systems on AWS (Glue, Step Functions, Lambda, ECS Fargate, DynamoDB, S3, SageMaker)
- Develop and maintain high-volume data pipelines using incremental ETL techniques
- Build Lambda-based microservices and workflow orchestration using Step Functions
- Contribute to backend services, APIs, dashboards, and customer-facing features
- Support ML/MLOps workflows including model training and deployment
- Implement monitoring, error handling, and automated recovery systems
- Ensure data quality, validation, and anomaly detection
- Design reusable, scalable data schemas and APIs
- Contribute to CI/CD pipelines with automated testing and deployments
Required Skills:
- Strong Python (5+ years), SQL, Pandas/PySpark
- AWS expertise (Lambda, Glue, S3, Athena, DynamoDB, ECS Fargate)
- Experience with data lakes and serverless architectures
- Backend/API development (REST, microservices, event-driven systems)
- Working knowledge of Node.js or willingness to learn
- Exposure to ML/MLOps (SageMaker, model lifecycle)
- Experience with large-scale data processing and distributed systems
- Strong understanding of testing, monitoring, and CI/CD practices
- Security best practices (encryption, access control, governance)
Nice to Have:
- Marketing analytics, MMM, attribution
- Infrastructure as Code (Terraform, CDK, CloudFormation)
- Frontend exposure (Vue.js, Next.js, TypeScript)
Qualifications:
- Bachelor’s or Master’s in Computer Science or related field
- Proven experience building enterprise-grade production systems
Interested candidates can share their profiles for immediate consideration.
Job ID: GKS2105_4
Client: Ksolves (Check duplicacy if interviewed within last 6–12 months)
We are looking for 2 strong Senior Data Engineers for a freelance opportunity.
Role Details:
Experience: 6+ Years
Budget: ₹70,000 per month
Work Mode: Work From Home
Engagement Type: Freelance (You can work on multiple jobs; no restrictions as long as deliverables are completed on time)
Interview Process: AI Interview + L1 + 2 Customer Rounds
Key Responsibilities:
- Design and build scalable, multi-tenant systems on AWS (Glue, Step Functions, Lambda, ECS Fargate, DynamoDB, S3, SageMaker)
- Develop and maintain high-volume data pipelines using incremental ETL techniques
- Build Lambda-based microservices and workflow orchestration using Step Functions
- Contribute to backend services, APIs, dashboards, and customer-facing features
- Support ML/MLOps workflows including model training and deployment
- Implement monitoring, error handling, and automated recovery systems
- Ensure data quality, validation, and anomaly detection
- Design reusable, scalable data schemas and APIs
- Contribute to CI/CD pipelines with automated testing and deployments
Required Skills:
- Strong Python (5+ years), SQL, Pandas/PySpark
- AWS expertise (Lambda, Glue, S3, Athena, DynamoDB, ECS Fargate)
- Experience with data lakes and serverless architectures
- Backend/API development (REST, microservices, event-driven systems)
- Working knowledge of Node.js or willingness to learn
- Exposure to ML/MLOps (SageMaker, model lifecycle)
- Experience with large-scale data processing and distributed systems
- Strong understanding of testing, monitoring, and CI/CD practices
- Security best practices (encryption, access control, governance)
Nice to Have:
- Marketing analytics, MMM, attribution
- Infrastructure as Code (Terraform, CDK, CloudFormation)
- Frontend exposure (Vue.js, Next.js, TypeScript)
Qualifications:
- Bachelor’s or Master’s in Computer Science or related field
- Proven experience building enterprise-grade production systems
Interested candidates can share their profiles for immediate consideration.