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This Senior Data Engineer role focuses on developing robust data architecture and infrastructure that meets evolving business needs. You will collaborate across teams to design, implement, and manage sophisticated data solutions, driving significant business value through advanced analytics.

Design, build, and manage complex data architectures, including defining data governance policies and standards. Develop and maintain on-premise or cloud infrastructure, creating end-to-end data platforms. Collaborate with multidisciplinary teams and business stakeholders to deliver impactful analytics solutions. Translate business requirements into scalable ETL/ELT pipelines, processing both batch and streaming data. Contribute to data management standards for optimization and consistency, ensuring efficient data utilization.

We are seeking a Senior Data Engineer with strong proficiency in Python for end-to-end application development and data processing. Expertise in data processing frameworks like Pandas and Polars, along with hands-on experience in Azure data services such as Databricks, Data Factory, Synapse, and Data Lake Storage is essential. A solid understanding of Apache Spark (PySpark) and SQL, including query optimization, is required, alongside experience with relational databases like Azure SQL, Oracle, and PostgreSQL.