Sr Data Engineer

Responsibilities

• The Senior Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. The role will develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end-users to consume and analyze data faster and easier.
• Senior Data Engineers will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources
• Expected to lead the writing of complex SQL queries to support analytics needs
• Responsible for developing technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis
• Senior Data Engineers will evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines
• The role will work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, Databricks, Spark, Delta, APIs. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses
• Ability to enhance relationships and networks with senior internal partners who are not familiar with the subject often requires persuasion
• Architect and scale our modern data platform to support real-time and batch processing for financial forecasting, risk analytics, and customer insights
• Partner with stakeholders across engineering, finance, sales, and compliance to translate business requirements into reliable data models and workflows.
• Evaluate emerging technologies and lead POCs that shape the future of our data stack.

Languages