Senior Data Engineer Required
Краткое
Freelancer Client is hiring: Senior Data Engineer Required.
Location: Remote
Compensation: ₹50,000 – ₹65,000/month
What you'll do:
• We are looking for a high-impact Senior Data Engineer to design and build scalable, multi-tenant data systems on AWS. You will work across data engineering, backend systems, APIs, and ML workflows, contributing to end-to-end product delivery.
• --
• Design & build scalable multi-tenant systems on AWS (Glue, Lambda, Step Functions, ECS, S3, DynamoDB, SageMaker)
• Develop robust data pipelines (ETL/ELT) for high-volume datasets
• Build Lambda-based microservices & workflow orchestration
• Develop backend services & APIs for dashboards and platform features
• Contribute to frontend dashboards (Vue.js / Next.js)
• Support ML/MLOps workflows (training, deployment, lifecycle on SageMaker)
Requirements:
• 3–7+ years of software/data engineering experience
• Strong Python (5+ yrs), SQL, Pandas/PySpark
• Hands-on AWS (Lambda, Glue, S3, Athena, DynamoDB, ECS, Step Functions)
• Experience with REST APIs, microservices, event-driven architecture
• Knowledge of ML/MLOps (SageMaker, model lifecycle)
• Exposure to Node.js (or willingness to learn)
• Experience with large-scale data processing & distributed systems
• Strong focus on testing, CI/CD, monitoring & security best practices
Nice to have:
• Marketing analytics / attribution / MMM experience
• Infrastructure-as-Code (Terraform, CDK, CloudFormation)
• Frontend tools (TypeScript, Tailwind, modern frameworks)
• --
Skills: Java, JSP, Python, SQL, NoSQL Couch & Mongo, AngularJS, ETL, PySpark, Pandas, REST API
Source: Freelancer Client via Remote / Online. Apply on the source website.
Оригинал
Hiring: Sr. Data Engineer
Job ID: GKS1805_3
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Role: Senior Data Engineer
Mode: Work From Home
Budget: ₹50,000 – ₹65,000/month
Availability: Immediate Joiners Only
Open Positions: 1
Interview Process:
AI Interview → L1 → 2 Client Rounds
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Role Overview
We are looking for a high-impact Senior Data Engineer to design and build scalable, multi-tenant data systems on AWS. You will work across data engineering, backend systems, APIs, and ML workflows, contributing to end-to-end product delivery.
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Key Responsibilities
- Design & build scalable multi-tenant systems on AWS (Glue, Lambda, Step Functions, ECS, S3, DynamoDB, SageMaker)
- Develop robust data pipelines (ETL/ELT) for high-volume datasets
- Build Lambda-based microservices & workflow orchestration
- Develop backend services & APIs for dashboards and platform features
- Contribute to frontend dashboards (Vue.js / Next.js)
- Support ML/MLOps workflows (training, deployment, lifecycle on SageMaker)
- Implement monitoring, error handling & ensure high system reliability (99.9% uptime)
- Build data validation, quality checks & anomaly detection systems
- Design systems for backfills, reprocessing & consistency
- Maintain data contracts, schema versioning & CI/CD pipelines
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Required Skills
- 3–7+ years of software/data engineering experience
- Strong Python (5+ yrs), SQL, Pandas/PySpark
- Hands-on AWS (Lambda, Glue, S3, Athena, DynamoDB, ECS, Step Functions)
- Experience with REST APIs, microservices, event-driven architecture
- Knowledge of ML/MLOps (SageMaker, model lifecycle)
- Exposure to Node.js (or willingness to learn)
- Experience with large-scale data processing & distributed systems
- Strong focus on testing, CI/CD, monitoring & security best practices
---
Nice to Have
- Marketing analytics / attribution / MMM experience
- Infrastructure-as-Code (Terraform, CDK, CloudFormation)
- Frontend tools (TypeScript, Tailwind, modern frameworks)
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Qualifications
- Bachelor’s/Master’s in Computer Science or related field
- Proven experience building scalable, production-grade systems
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To Apply, Share:
- Updated Resume
- LinkedIn Profile
- Immediate availability
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Локация & Details
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