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Senior Data Engineer
Resilient Co.. Design and deliver end-to-end data solutions for enterprise clients .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering end-to-end data solutions, including building and maintaining Data Lakes and Data Warehouses. Proficient in developing data pipelines and implementing cloud-based data platforms while ensuring technical quality and mentoring team members.
Highest-signal resume keywords
Data EngineeringSQLPySparkAzure Data FactoryData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringSQLPySparkData ModelingAzure Data FactoryMicrosoft FabricCloud-Based Data PlatformsData Solutions DesignData Pipeline DevelopmentTechnical Leadership
Soft Skills
Client CommunicationProblem-SolvingOwnershipAutonomyMentoring
Tools & Technologies
AzureAWSGCPPower BISynapseDatabricksSnowflakeParquetLakehouse ArchitectureNotebooks
Industry Keywords
Data LakeData WarehouseAnalytical Data ModelsData IngestionData TransformationVersion ControlTechnical DocumentationProject PlanningStakeholder ManagementModern Data Platforms
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPySparkSnowflakeSQL
About the role
Key responsibilities & impact- Design and deliver end-to-end data solutions for enterprise clients
- Gather business requirements and translate them into scalable technical architectures
- Build and maintain modern Data Lake, Data Warehouse, and analytical data models
- Develop robust data pipelines for ingestion, transformation, and data serving
- Drive technical quality through best practices, documentation, testing, and version control
- Act as the technical point of contact for clients throughout project delivery
- Mentor and support other Data Engineers
- Participate in technical estimations, solution design, and project planning
- Continuously improve engineering standards and delivery processes
- Deliver modern data platforms and analytics solutions for multinational clients
Requirements
What you’ll need- 5+ years of experience as a Data Engineer, Analytics Engineer, BI Developer, or similar
- Strong experience with SQL
- Strong experience with PySpark
- Strong experience with Data Modeling
- Strong experience with Azure Data Factory
- Strong experience with Microsoft Fabric
- Hands-on experience implementing cloud-based data platforms (Azure, AWS, or GCP)
- Experience designing and building production-grade data solutions
- Advanced English (spoken and written)
- Comfortable working directly with clients and multiple stakeholders
- Demonstrated technical leadership without requiring formal people management responsibilities
- Strong ownership, autonomy, and problem-solving mindset
- Full-time availability Monday–Friday
- Experience with modern Microsoft data technologies, including Lakehouse architecture, Notebooks, Power BI, Synapse, and Dataflows is nice to have
- Additional experience with Databricks, Snowflake, and Parquet and modern columnar storage formats is nice to have
Benefits
Comp & perks- Continuous learning, certifications, and professional development
- Healthy work-life balance
- Competitive compensation and benefits
- Multicultural teams
- Collaborative engineering culture with strong technical ownership