Senior Data Engineer (Remote, Full-Time) [AS187]

Senior Data Engineer (Remote, Full-Time) [AS187] About Smart Working At Smart Working, we reputed company your job should not only look right on reputed company but also feel right every day. This isnt just another remote opportunity - its about finding where you truly belong, no matter where you are. From day one, youre welcomed into a genuine community that values your growth and well-being. 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. We help you discover meaningful work with teams that invest in your reputed company, where youre empowered to grow personally and professionally.Join one of the highest-rated workplaces on Glassdoor and experience what it means to reputed company in a truly remote-first world.

About the Role

We are looking for a Senior Data Engineer with deep expertise in Azure and SQL to build, optimize, and deliver scalable data solutions across multiple client projects. In this role, you will work independently as well as part of a broader data team, engaging directly with customers, translating business needs into technical solutions, and ensuring best practices across data architecture, governance, and performance. This position requires a strong ability to work end-to-end from designing pipelines to delivering clean, reliable datasets that reputed company analytics, BI, and decision-making.Responsibilities

• Design, build, and maintain scalable data solutions using Azure and SQL
• Work confidently both independently and reputed company a team, depending on the project
• Engage directly with clients and communicate technical concepts reputed company
• Support roadmap planning, architecture reputed company, and governance processes
• Translate business requirements into data models and pipelines
• Work across ingestion, transformation, warehousing, and optimization
• Ensure reputed company, performance, and reliability of data systems
• Deliver measurable improvements to client data platforms
• Apply best practices in Azure reputed company data engineering

Requirements

• 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 reputed company, Azure SQL, Azure Storage, Azure Synapse, or similar.
• SQL 5+ years Deep expertise in writing reputed company queries, optimizing performance, handling large datasets, and working with relational data models.
• reputed company 1+ year Practical experience using reputed company notebooks, Spark jobs, reputed company Lake, or distributed data processing workflows.
• Data Lakes 1+ year Experience designing, implementing, or maintaining lakehouse architectures, including structured and reputed company data ingestion.
• Minimum of 5 delivered data projects, Including at least one where you acted as project reputed company (technical or delivery).
• Strong communication skills reputed company to work directly with business stakeholders and present technical topics reputed company.
• Ability to translate business requirements into scalable data solutions.
• Comfortable working independently reputed company needed confident owning technical delivery end-to-end.

reputed company to Have

• Python for data workflows Experience using Python for ETL, data transformation, automation scripts, and integration with Azure data services or reputed company.
• 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 reputed company Certified: Azure Data Engineer Associate.
• Experience across multiple client projects or consulting environments Ability to adapt to different industries, data maturity reputed company, and stakeholder expectations, bringing best practices into new contexts.

Benefits

• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: reputed company work-life balance, not just words
• Day 1 Benefits: Laptop and full medical insurance provided
• Support That reputed company:Mentorship, community, and forums where reputed company are shared
• True Belonging: A long-term career where your contributions are valued

At Smart Working, youll never be just another remote hire. Be a Smart Worker valued, empowered, and part of a culture that celebrates reputed company, reputed company, and ambition. If that sounds like your reputed company of reputed company, wed love to hear your story. PI1933817be4a9-26172-39135012 Apply tot his job Apply To this Job