SMBC MANUBANK
Overview
Sr. Data Engineer - Azure (Hybrid) role at SMBC MANUBANK. We are seeking a highly skilled and motivated Senior Data Engineer to lead the design, development, and optimization of enterprise-grade data pipelines and analytics platforms. This is an exciting opportunity to shape the future of data infrastructure in a dynamic, cloud-forward environment. You will play a critical role in enabling data-driven decision-making across the organization by building scalable, secure, and high-performance data solutions primarily within the Azure ecosystem. As a strategic contributor, youll collaborate with cross-functional teams to deliver impactful insights, drive innovation, and ensure data integrity across platforms. This role is ideal for a seasoned data engineering professional who thrives in a fast-paced, agile environment and is passionate about transforming raw data into actionable intelligence. Responsibilities Data Architecture & Engineering: Design, develop, and maintain scalable data pipelines and ETL processes for batch and streaming workloads using Azure Data Factory, Databricks (Spark, Python, Scala), and other tools. Implement and optimize data ingestion, transformation, and storage solutions using Azure Data Lake, Azure SQL, and Delta Lake with Medallion Architecture and Unity Catalog. Develop and maintain robust data models, schemas, and dictionaries to support efficient data retrieval and reporting. Data Quality & Governance: Perform data profiling, cleansing, validation, and quality checks to ensure accuracy and reliability. Troubleshoot and resolve data-related issues across the pipeline. Collaborate with data governance teams to implement lineage and quality frameworks using tools like Collibra. Reporting & Visualization: Build and maintain Power BI dashboards, reports, and visualizations to communicate insights effectively. Implement data transformations and modeling within Power BI to support business intelligence needs. Create and maintain technical documentation for reporting solutions and data structures. DevOps & Agile Delivery: Use Azure DevOps, GitHub, and Jenkins for CI/CD and deployment automation. Participate in Agile development cycles using Jira and Confluence, delivering features incrementally. Stay current with industry trends and proactively recommend improvements to data infrastructure and reporting capabilities. Collaboration & Communication: Work closely with business stakeholders, analysts, and developers to understand data requirements and deliver solutions. Communicate effectively across technical and non-technical teams. Demonstrate adaptability, multitasking, and problem-solving in a collaborative team environment.
Qualifications
Bachelors degree in Computer Science, Information Systems, or equivalent practical experience. 10+ years of experience in data engineering, data warehousing, and analytics. 7+ years of expertise implementing data pipelines in cloud-based infrastructure using Python, Spark, and Scala for batch and streaming ETL workloads. 5+ years of strong expertise in SQL Server, SSIS, and Azure-based data engineering. 5+ years of experience with RESTful APIs and JSON for data integration and service communication. 3+ years of hands-on experience with Power BI, Azure Data Lake, Azure SQL, and Databricks. Familiarity with build and deployment tools such as Azure DevOps, GitHub, and Jenkins, within Agile and DevOps environments.
Preferred Qualifications
Industry certifications in Azure, GCP, or AWS. Experience with containerization technologies like Docker and Kubernetes, and shell scripting in Bash, Unix, or Windows. Experience with programming languages such as Java, JavaScript, or C/C++ for backend development and data processing. Experience in Banking and Financial Services domains. Experience with Collibra for data lineage and data quality management. Exposure to Power Platform tools, including Power Automate and Power Apps.
Position Specifications
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Banking
EOE Statement
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com. CCPA Disclosure
Personal Information Collection Notice: This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that SMBC MANUBANK collects and the business or commercial purpose(s) for which the PI may be used. We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https://www.smbcmanubank.com/privacy/ccpa-disclosure. Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format. #J-18808-Ljbffr
Sr. Data Engineer - Azure (Hybrid) role at SMBC MANUBANK. We are seeking a highly skilled and motivated Senior Data Engineer to lead the design, development, and optimization of enterprise-grade data pipelines and analytics platforms. This is an exciting opportunity to shape the future of data infrastructure in a dynamic, cloud-forward environment. You will play a critical role in enabling data-driven decision-making across the organization by building scalable, secure, and high-performance data solutions primarily within the Azure ecosystem. As a strategic contributor, youll collaborate with cross-functional teams to deliver impactful insights, drive innovation, and ensure data integrity across platforms. This role is ideal for a seasoned data engineering professional who thrives in a fast-paced, agile environment and is passionate about transforming raw data into actionable intelligence. Responsibilities Data Architecture & Engineering: Design, develop, and maintain scalable data pipelines and ETL processes for batch and streaming workloads using Azure Data Factory, Databricks (Spark, Python, Scala), and other tools. Implement and optimize data ingestion, transformation, and storage solutions using Azure Data Lake, Azure SQL, and Delta Lake with Medallion Architecture and Unity Catalog. Develop and maintain robust data models, schemas, and dictionaries to support efficient data retrieval and reporting. Data Quality & Governance: Perform data profiling, cleansing, validation, and quality checks to ensure accuracy and reliability. Troubleshoot and resolve data-related issues across the pipeline. Collaborate with data governance teams to implement lineage and quality frameworks using tools like Collibra. Reporting & Visualization: Build and maintain Power BI dashboards, reports, and visualizations to communicate insights effectively. Implement data transformations and modeling within Power BI to support business intelligence needs. Create and maintain technical documentation for reporting solutions and data structures. DevOps & Agile Delivery: Use Azure DevOps, GitHub, and Jenkins for CI/CD and deployment automation. Participate in Agile development cycles using Jira and Confluence, delivering features incrementally. Stay current with industry trends and proactively recommend improvements to data infrastructure and reporting capabilities. Collaboration & Communication: Work closely with business stakeholders, analysts, and developers to understand data requirements and deliver solutions. Communicate effectively across technical and non-technical teams. Demonstrate adaptability, multitasking, and problem-solving in a collaborative team environment.
Qualifications
Bachelors degree in Computer Science, Information Systems, or equivalent practical experience. 10+ years of experience in data engineering, data warehousing, and analytics. 7+ years of expertise implementing data pipelines in cloud-based infrastructure using Python, Spark, and Scala for batch and streaming ETL workloads. 5+ years of strong expertise in SQL Server, SSIS, and Azure-based data engineering. 5+ years of experience with RESTful APIs and JSON for data integration and service communication. 3+ years of hands-on experience with Power BI, Azure Data Lake, Azure SQL, and Databricks. Familiarity with build and deployment tools such as Azure DevOps, GitHub, and Jenkins, within Agile and DevOps environments.
Preferred Qualifications
Industry certifications in Azure, GCP, or AWS. Experience with containerization technologies like Docker and Kubernetes, and shell scripting in Bash, Unix, or Windows. Experience with programming languages such as Java, JavaScript, or C/C++ for backend development and data processing. Experience in Banking and Financial Services domains. Experience with Collibra for data lineage and data quality management. Exposure to Power Platform tools, including Power Automate and Power Apps.
Position Specifications
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Banking
EOE Statement
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com. CCPA Disclosure
Personal Information Collection Notice: This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that SMBC MANUBANK collects and the business or commercial purpose(s) for which the PI may be used. We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https://www.smbcmanubank.com/privacy/ccpa-disclosure. Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format. #J-18808-Ljbffr