data engineer for Lakehouse platforms

The company provides enterprise software products, open source solutions, and accelerators.

• Develop and maintain reusable Python SDK modules for data pipeline operations, including compaction, quality checking, schema evolution, and table lifecycle management;
• Design and build framework libraries following software engineering best practices for scalability and reliability across 100+ pipelines and diverse data domains;
• Collaborate with Data Engineers to gather feedback, understand pain points, and iterate on the SDK;
• Contribute to platform architecture discussions and performance tuning strategies;
• Write high-quality documentation and contribute to enablement materials for framework consumers;
• Help define and infuse data engineering best practices through enablement, SDKs, and templates;
• Ensure data quality, consistency, and governance across Lakehouse environments.

• Strong experience as a Data Engineer with proficiency in Databricks;
• 3+ Years of experience building reusable libraries, SDKs, or internal developer tooling;
• Knowledge of Data Mesh and Data Product concepts, including data ownership, domain-oriented design, and self-serve data platforms;
• Deep expertise in Delta Lake, Delta tables, and compaction optimization for high-performance workloads;
• Proven experience designing and maintaining complex data pipelines on cloud object stores such as ADLS;
• Strong Python programming skills for data engineering workloads;
• Solid understanding of Lakehouse architecture and best practices for large-scale data platforms;
• Hands-on experience with data pipeline monitoring, troubleshooting, and performance tuning;
• Familiarity with CI/CD and workflow orchestration using Databricks Jobs;
• Experience working in agile teams with a focus on ownership, autonomy, and best practices;
• Excellent problem-solving skills and ability to handle high-scale, complex data challenges;
• English proficiency at B2 level or higher;
• Nice to have: experience with agile methodologies such as Scrum and SAFe, experience developing enablement materials and technical documentation.

• Remote work in Kazakhstan.