Data Engineer

Please apply directly or send your resume to request@tytantech.com with the subject line : “Application – Data Engineer”

We are seeking an experienced Data Engineer with a strong background in building scalable data pipelines, architecting modern data platforms, and driving high-performance data transformations. The ideal candidate will have deep expertise in Microsoft Azure Synapse , Data Lake , SQL , and Spark , and will be capable of designing solutions aligned with modern data strategy and architecture principles.

Key Responsibilities

• Design and develop scalable, efficient, and reliable data pipelines for ingestion, transformation, and storage of structured and unstructured data.
• Architect and implement modern data lakehouse and data warehouse solutions using Azure Synapse Analytics and Azure Data Lake .
• Develop and optimize complex data transformation workflows leveraging Apache Spark for parallel processing and distributed computation.
• Work closely with business and analytics teams to translate requirements into robust data models and reusable data components.
• Lead a multi-skilled, distributed data engineering team , providing technical guidance, code reviews, and best practices in data architecture and governance.
• Implement and enforce data quality, lineage, and performance optimization standards.
• Stay current with emerging data engineering tools, cloud-native services, and architectural patterns , and recommend adoption of best-fit technologies.

Requirements

Preferred Skills (Good to Have)