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Senior Data Engineer
AssureSoft. Design, develop, test, and maintain scalable data pipelines and ETL/ELT processes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and maintaining scalable data pipelines and ETL/ELT processes using Python, SQL, and dbt. Proficient in data modeling, quality validation, and performance optimization within data warehousing environments like Snowflake.
Highest-signal resume keywords
Data EngineeringPython ProgrammingSQL ProficiencyETL/ELT Pipeline DevelopmentSnowflake Expertise
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 Pipeline ArchitectureData TransformationData Quality ChecksRoot Cause AnalysisComplex SQL QueriesData ModelingAutomationError HandlingPerformance OptimizationData Ingestion
Soft Skills
Analytical Problem-SolvingCollaborationOwnershipTroubleshootingCommunication
Tools & Technologies
DbtAirbyteSnowflakeMySQLGitCI/CD PipelinesAWSAzureGoogle CloudDocker
Industry Keywords
Data WarehousingDimensional ModelingData GovernanceAgile MethodologiesData Security
Tech Stack
Tools & technologiesAWSAzureCloudDockerETLMySQLPythonSnowflakeSQL
About the role
Key responsibilities & impact- Design, develop, test, and maintain scalable data pipelines and ETL/ELT processes
- Build and optimize data transformation workflows using Python, SQL, and dbt
- Develop and maintain data ingestion, synchronization, and integration pipelines using Airbyte
- Design and optimize data models, transformations, and queries in Snowflake
- Extract, transform, and integrate data from relational databases, including MySQL
- Implement data quality checks, validation processes, error handling, and pipeline monitoring
- Troubleshoot pipeline failures, perform root cause analysis, and implement sustainable solutions
- Develop clean, reusable, maintainable, and well-documented code and SQL transformations
- Collaborate with engineers, analysts, developers, and stakeholders to deliver reliable data solutions
- Participate in technical estimation and development planning
- Improve pipeline performance, scalability, reliability, and cost efficiency
Requirements
What you’ll need- Solid professional experience in data engineering at a senior level
- Strong proficiency in Python for data processing, automation, and pipeline development
- Advanced SQL skills, including complex queries, data transformations, and performance optimization
- Proven experience designing, developing, and maintaining ETL/ELT pipelines
- Hands-on experience with dbt for data transformation, modeling, testing, and documentation
- Practical experience with Airbyte for data ingestion, synchronization, and integration
- Strong experience with Snowflake, including data warehousing, data modeling, and query optimization
- Experience with relational databases, particularly MySQL
- Solid understanding of data warehousing, dimensional modeling, and data pipeline architecture
- Experience implementing data quality validation, error handling, and pipeline monitoring
- Familiarity with Git, version control, and collaborative development workflows
- Experience with CI/CD pipelines and modern data engineering practices
- Hands-on experience using AI-assisted software development tools
- Strong debugging, troubleshooting, and analytical problem-solving skills
- Ability to work independently, collaborate effectively, and take ownership of deliverables
- Nice to have: Experience with cloud platforms (AWS, Azure, or Google Cloud), Docker, and modern data lake architectures
- Nice to have: Familiarity with Agile methodologies, data governance, security, and access control best practices
Benefits
Comp & perks- Continuous learning environment
- Cutting-edge benefits, tools, and resources
- English scholarships for an external institute
- English classes with company teachers
- State-of-the-art tools and resources
- Certifications for professional growth
- Recreation and leisure activities
- Compliance with the regulations and labor rights of your region
- Great Place To Work certification