Data Engineering Strategist
hace 2 semanas
Company Overview
Finastra, a global fintech leader, is seeking an exceptional Data Engineering Strategist to join our team. Our company aims to modernize and digitize financial services by developing innovative data-driven solutions.
Salary
We offer an estimated salary of $125,000 - $170,000 per annum, commensurate with experience, reflecting the company's commitment to attracting top talent in the industry.
Job Description
This pivotal role involves designing and implementing robust data pipelines, managing structured and unstructured data, and ensuring seamless execution of end-to-end data solutions. The ideal candidate will possess deep expertise in data engineering and advanced analytics.
Main Responsibilities:
- Design, develop, maintain, and document data pipelines (cleansing, blending, migration, transformation), run books, and data storage systems
- Design, develop, maintain, and document data models based on requirements
- Assist with the maintenance of existing models, data systems, and platforms
- Gather and analyze requirements, developing data processes and applications that meet our business needs
- Challenge the status quo and identify new opportunities for data acquisition and transformation
- Ignite positive change by assisting team members and Line of Business teams with the utilization of new data assets
- Collaborate with members of the Data Engineering team to support internal clients such as Data Scientists, Visualization Specialists, various Line of Business teams with their various data needs
- Collaborate with product manager and product owner teams to review and refine functional and non-functional requirements
- Collaborate with Platform R&D teams to ensure smooth and reliable integration
- Drive innovation by keeping current on relevant data trends via researching, presenting, and accurately articulating the benefits and goals of data architecture related technologies, such as Big Data, Hadoop, NoSQL, Cloud
Required Skills and Qualifications
To succeed in this role, you must have a degree in a technical field such as Applied Statistics, Mathematics, and/or Computer Science, Software Engineering, etc., or equivalent. Relevant Microsoft Certifications and other field-related certifications are also preferred.
Main Requirements:
- Experience leveraging big data technologies (one or more of Hadoop, Python, Spark)
- Experience developing Extract-Transform-Load processes and tools (e.g., Informatica, SSIS, Azure Data Factory) (One or more, Azure Data Factory preferably)
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience working with and analyzing structured, semi-structured, and unstructured datasets
- Knowledge of data modelling approaches and best practices
- Solid understanding of relational and dimensional database design and knowledge of logical and physical data models
- Familiarity with the Microsoft Azure platform, knowledge of core data services such as: Azure Data Factory, Azure Storage, Azure Synapse, SQL Server, Azure Analysis Services, Azure Data Lake Gen 2
- Experience with Source Code Version Control Systems such as GitHub, TFS, Bitbucket
- Familiarity with scripting languages like PowerShell, Bash (one or more)
- Strong experience with Microsoft Power BI and Data modeling (star / snowflake schemas, fact, and dimensional tables)
- Strong knowledge in DAX and M languages building efficient measures. Debugging and Performance tuning
- Experience with Azure Databricks, Delta tables, and Python
- Understanding of agile project approaches and methodologies
Benefits
We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) plan, paid time off, and professional development opportunities.
Others
Please submit your application, including your resume and cover letter, through our website. We look forward to hearing from you
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