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Smart Working
Senior Data Engineer (Remote, Full-Time)
Smart Working
Chennai•Remote•5-8 Yrs•1 hour ago
Job description
Remote
Overview
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles.
Responsibilities
- Design, build, and maintain scalable data solutions using Azure and SQL
- Work confidently both independently and within a team, depending on the project
- Engage directly with clients and communicate technical concepts clearly
- Support roadmap planning, architecture decisions, and governance processes
- Translate business requirements into data models and pipelines
- Work across ingestion, transformation, warehousing, and optimization
- Ensure security, performance, and reliability of data systems
- Deliver measurable improvements to client data platforms
- Apply best practices in Azure cloud data engineering
Qualifications
- 5+ years of experience in data engineering
- Azure — 5+ years Hands-on experience building, deploying, and operating production-grade data solutions using Azure services such as Azure Data Factory, Azure SQL, Azure Storage, Azure Synapse, or similar
- SQL — 5+ years Deep expertise in writing complex queries, optimizing performance, handling large datasets, and working with relational data models
- Databricks — 1+ year Practical experience using Databricks notebooks, Spark jobs, Delta Lake, or distributed data processing workflows
- Data Lakes — 1+ year Experience designing, implementing, or maintaining lakehouse architectures, including structured and unstructured data ingestion
- Minimum of 5 delivered data projects, Including at least one where you acted as project lead (technical or delivery)
- Strong communication skills — able to work directly with business stakeholders and present technical topics clearly
- Ability to translate business requirements into scalable data solutions
- Comfortable working independently when needed — confident owning technical delivery end-to-end
Nice to have
- Python for data workflows — Experience using Python for ETL, data transformation, automation scripts, and integration with Azure data services or Databricks
- Azure DevOps Pipelines — Familiarity with CI/CD pipelines for data engineering workflows, including deployment automation, version control, and environment management
- Data Warehouse design experience — Understanding of dimensional modeling, star schemas, fact/dimension tables, and best practices for analytical data architecture
- DP-203 Certification — Microsoft Certified: Azure Data Engineer Associate
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters:Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued