Not specified (assumed not remote based on job description context).
Python, pyspark, azure databricks
Azure data factory, adls gen2
Azure synapse, azure key vault
Synechron is seeking an experienced Azure Data Engineer with a strong background in cloud data platforms to design and optimize data solutions in the banking domain. The ideal candidate should possess proficiency in Python, PySpark, Azure Databricks, and data architecture, supporting the organization's digital transformation efforts
Job Summary
Design, develop, and optimize scalable data pipelines and data solutions using Python, PySpark, and Azure Databricks technologies to enable enterprise analytics and support data-driven decision-making.
Collaborate with cross-functional teams to ensure the delivery of secure, high-performance, and compliant data architectures aligned with business goals.
Responsible for designing and building scalable ETL/ELT pipelines and data marts within the Azure cloud environment, optimizing data workflows for performance, cost-effectiveness, and security.
Matching Summary
Match Score: 85
Synechron is seeking an experienced Azure Data Engineer with a strong background in cloud data platforms to design and optimize data solutions in the banking domain. The ideal candidate should possess proficiency in Python, PySpark, Azure Databricks, and data architecture, supporting the organization's digital transformation efforts.
Skills & Requirements
Must-have
Python, PySpark, Azure Databricks
Azure Data Factory, ADLS Gen2
Azure Synapse, Azure Key Vault
SQL, Delta Lake, relational modeling
ETL/ELT pipelines, data marts
Agile methodologies, Git version control
Nice-to-have
Databricks Workflows, Unity Catalog
REST APIs, Docker, Power BI
Tableau, metadata management tools
financial industry data standards
Key Requirements
6+ years of experience in Data Engineering
Proven hands-on experience with enterprise-grade cloud data platforms
Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field
Experience working within banking, financial services, or regulated industries highly preferred