Join Mizuho as an Integration Data Engineer!
We are seeking an Integration Data engineer with a background in SQL and data warehousing for enterprise level systems. The ideal candidate is comfortable working with business users along with business analyst expertise.
Major Responsibilities:
- Design, develop, and deploy Databricks jobs to process and analyze large volumes of data.
- Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines.
- Optimize Databricks jobs for performance and scalability to handle big data workloads.
- Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
- Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
- Demonstrated proficiency with Data Analytics, Data Insights
- Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process
- Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources.
- Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
Skills:
• 5+ years - Enterprise Data Management
• 5+ years - SQL Server based development of large datasets
• 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. Snowflake experience is good to have
• 3+ years Python(numpy, pandas) coding experience
• 3+ years' experience in Finance / Banking industry - some understanding of Securities and
Banking products and their data footprints.
• Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have
• Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills
• Capable of discussing enterprise level services independent of technology stack
• Experience with Cloud based data architectures, messaging, and analytics
• Superior communication skills
• Cloud certification(s) preferred
• Any experience with Regulatory Reporting is a Plus
Education
• Minimally a BA degree within an engineering and/or computer science discipline
• Master's degree strongly preferred
Education
• Minimally a BA degree within an engineering and/or computer science discipline
• Master's degree strongly preferred
The expected base salary ranges from $77, 000 - $135, 000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.
#LI-Hybrid
Please see the job description for required or recommended skills.
Please see the job description for benefits.