Senior Data Engineer

Weekday (YC W21)

. Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric .

Posted 10/2/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines using Microsoft Azure Fabric and building reliable ETL/ELT processes. Proficient in SQL, Python, and data modeling, with a strong focus on optimizing data workflows and collaborating with cross-functional teams.

Highest-signal resume keywords

Microsoft Azure FabricETL/ELT ProcessesSQLPythonData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingData Integration SolutionsCloud-Based Data PlatformsSpark

Soft Skills

CollaborationProblem-SolvingCommunicationAdaptabilityProactive Risk Management

Tools & Technologies

DatabricksAI-Assisted Development ToolsAutomation Tools

Industry Keywords

Data PipelinesData Processing WorkflowsProduction EnvironmentsGlobal Team Engagement

Tech Stack

Tools & technologies

AzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric
Build reliable ETL/ELT processes for structured and unstructured data
Work with business teams to understand data requirements and translate them into technical solutions
Optimize data processing workflows for performance, scalability, and cost
Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality
Troubleshoot production issues and proactively identify improvements
Collaborate with architects, analysts, and developers throughout the project lifecycle
Take responsibility for quality, timelines, and outcomes without constant follow-up
Use AI and automation to solve problems, improve engineering productivity, and deliver better solutions
Raise risks early, ask questions when something isn't clear, and keep stakeholders informed
Adjust priorities while maintaining delivery commitments

Requirements

What you’ll need

5+ years of hands-on experience as a Data Engineer
Strong experience with Microsoft Azure Fabric, Databricks and Azure data services
Solid knowledge of SQL and data modeling concepts
Experience building enterprise-grade data pipelines and data integration solutions
Proficiency in Python, Spark, or similar technologies is preferred
Experience working with cloud-based data platforms in production environments
Available to engage with global teams and overlap with the U.S. East Coast during critical discussions, up to 1:00 PM ET as needed