Lead Software Engineer, Data - 10070

Lead and drive the development and optimization of scalable data architectures and pipelines.

Design and implement best-in-class ETL/ELT solutions for real-time and batch data processing.

Optimize data analysis and computation for performance, reliability, and cost efficiency, implementing monitoring solutions to identify bottlenecks.

Architect and maintain cloud-based data infrastructure leveraging AWS, Azure, or GCP services.

Ensure data security and governance, enforcing compliance with industry standards and regulations.

Develop and promote best practices for data modeling, processing, and analytics.Mentor and guide a team of data engineers, fostering a culture of innovation and technical excellence.

Collaborate with stakeholders, including Product, Engineering, and Data Science teams, to support data-driven decision-making.

Automate and streamline data ingestion, transformation, and analytics processes to enhance efficiency.

Develop real-time and batch data processing solutions, integrating structured and unstructured data sources.

We are looking for a candidate with 10+ years of experience in Data Engineering and Application development with at least 3+ years in a Technical Lead role. They must have a graduate degree in Computer Science or a related field of study. They must have experience with programming languages such as Python and Java. Expertise in Python is a must.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Expertise in processing and analyzing large data workloads. Experience in designing and implementing scalable Data Warehouse solutions to support analytical and reporting needs.

Experience with API development and design with REST or GraphQL. Experience building and optimizing 'big data' data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.