• Analyze and interpret complex data Ability to identify data anomalies and resolve data issues. • Understand specific business processes and domain concepts and relate them to data subject domains. • Optimize SQL queries, scripts, and stored procedures in Snowflake and SQL Server to improve efficiency and reduce processing time. • Integrate and manage data from various sources, ensuring data quality, reliability, and performance • Design, develop, and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest, transform, and load data into Snowflake. • Monitor data pipeline and ETL performance, identifying bottlenecks and making necessary adjustments to ensure optimal system performance. • Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences. • Develop and implement data models within Snowflake to support business intelligence and analytics requirements. • Collaborate with Data Leads, Product Managers and QA Engineers to validate requirements, participate in user requirement sessions. • Perform tests and validate data flows and prepare ETL processes according to business requirements. • Perform ETL tuning and SQL tuning. • Ability to document data flows representing business logic in ETL routines. • Design and implement data conversion strategy from legacy to new platforms. • Perform design validation, reconciliation, and error handling in data load processes. • Design and prepare technical specifications and guidelines including ER diagrams and related documents.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Data Engineer will be responsible for designing and implementing data solutions that support the organization’s goals. - Develop and maintain data pipelines and ETL processes - Collaborate with cross-functional teams to understand data needs - Ensure data quality and integrity - Optimize data storage and retrieval processes - Provide technical guidance and mentorship to junior engineers Qualifications - Bachelor's degree in Computer Science, Engineering, or related field - 5+ years of experience in data engineering or related field - Strong programming skills in Python, Java, or Scala - Experience with SQL and NoSQL databases - Familiarity with data warehousing solutions Requirements - Proficiency in data modeling and database design - Experience with cloud platforms such as AWS or Azure - Strong analytical and problem-solving skills - Ability to work independently and in a team environment Benefits - Comprehensive health insurance - 401(k) with company match - Flexible work hours and telecommuting options - Opportunities for professional development and growth

• Architect and scale systems for AI-driven valuation tools • Lead development of data ingestion pipelines and workflows • Collaborate with backend engineers and product leadership

• Assess the current (“as-is”) data platform and define the future-state architecture in collaboration with the Big Data Engineering leadership • Perform gap analysis and contribute to the implementation of the future-state data platform • Work closely with internal stakeholders including team leads, enterprise architecture, data governance, and data DevOps teams • Draft and review big data architectures alongside senior engineering and BI leadership to ensure optimal technical solutions • Support refinement sessions by contributing accurate effort sizing and architectural input • Provide guidance to avoid silos by ensuring architectural decisions are inclusive and scalable across teams • Contribute to project planning through architectural insight and risk awareness • Promote best practices across the Big Data Engineering team, ensuring data accuracy, validity, reusability, and consistent coding standards • Stay up to date with emerging Big Data technologies and trends, communicating their value clearly to both technical and non-technical audiences • Support collective peer review practices and improve overall architectural quality