Senior Data Engineer, ADB, Python

Bonapolia

Senior Data Engineer enhancing data infrastructure for Big Four accounting firm. Developing scalable Spark applications using cutting-edge technologies in a fully remote setting.

Posted 7/29/2026full-timeRemote • 🇰🇿 KazakhstanSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and maintaining scalable Spark applications while ensuring adherence to coding standards and best practices. Strong analytical skills and experience in data processing and transformation workflows are essential for optimizing performance and reliability.

Highest-signal resume keywords

Apache SparkPython ProgrammingData Processing and TransformationMicroservices ArchitectureCode Review and Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData Manipulation with Pandas/PolarsColumnar Data Storage FormatsDelta TablesPerformance Optimization

Soft Skills

Analytical Problem-SolvingOrganizational SkillsCommunication SkillsCollaborationSelf-Management

Tools & Technologies

DatabricksAzure SynapseSpark Applications

Industry Keywords

Coding StandardsCode QualityTechnical DocumentationCross-Functional TeamsScalable Systems

Tech Stack

Tools & technologies

ApacheAzureMicroservicesPandasPythonSpark

About the role

Key responsibilities & impact

Define and enforce best practices and coding standards across the project
Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
Working both independently and in close collaboration with others in the team
Communicating clear instructions to team members and helping manage the flow of day-to-day operations
Communicating with the client regularly
Design, develop, and maintain robust and scalable Spark applications
Write clean, maintainable, and efficient code following best practices and coding standards
Optimize code for performance and scalability, ensuring efficient data handling
Work closely with cross-functional teams to deliver high-quality software solutions
Identify and resolve technical issues, ensuring the reliability and performance of applications
Create and maintain comprehensive documentation for code, processes, and workflows

Requirements

What you’ll need

5+ years of hands-on experience in software development
Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
Proven expertise in data processing, analysis, and transformation workflows
Strong analytical and problem-solving abilities with a detail-oriented mindset
Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
Solid understanding of microservices architecture and its implementation in scalable systems

Benefits

Comp & perks

Health insurance
Flexible work arrangements