Data Engineer Senior (Python/SQL)

Engineer

Data Engineer Senior (Python/SQL)

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  • Date posted
    September 15, 2026
  • Expiration date
    December 15, 2026
  • Application ends
    December 15, 2026

Our Client Currently looking for Data Engineer Senior (Python/SQL)

An ideal candidate will have:
•Advanced Python Mastery & Software Engineering
o Expertise writing clean, reusable and maintainable python code.
o Strict adherence to software engineering standards, patterns and architectures.
o Deep familiarity with Git usage and context, including guiding complex operations and
o Experiencing managing and maintaining consistency across Linux based remote development environments.
o Strong understanding of reliability engineering principles, incident response, root-cause analysis, and postmortem processes.
•Databasing & Data Modeling
o Expertise in storing and interacting with large tables via Oracle SQL.
o Understanding of database execution techniques, indexing and schema strategies, and query optimization
o Experience with ETL/ELT patterns and frameworks, and the ability to develop novel ones from scratch to solve complex requirements.
o Deep understanding of data quality frameworks, validation strategies, reconciliation techniques, and automated testing.
•Architecture and Performance
o Deep understanding of resource optimization patterns used to eliminate processing bottlenecks and develop code utilizing minimal required resources.
o Experiencing designing custom mechanisms for tracking pipeline states, pipeline failures, managing incremental loads and logging operational metadata.
o Deep knowledge of production process maintenance and support techniques and procedures.
•Modern Data Infrastructure & Orchestration
o Advanced experience implementing and managing programmatic workflows orchestration via Cron, Airflow and Kafka, including best practices for managing concurrent task orchestration and complex task dependency.
o Familiarity with a range of cloud solutions, including platforms/ecosystems, ETL tooling and high performance data warehousing.
o Deep understanding the software development lifecycle, DevOps and CI/CD pipelines, along with the ability to perform basic pipeline configuration and maintenance.
•Technical Leadership and Mentorship
o Experience defining coding standards and practices as well as leading rigorous code review.

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