Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
12+ years of experience in data engineering, including 3-5+ years in a senior role.
Expertise in SQL for complex query design and performance tuning.
Deep knowledge of data warehousing and modeling, including CDC and data vault patterns.
Experience in designing and deploying scalable, cloud-native data pipelines.
Strong understanding of data governance, security, and compliance practices.
Ability to mentor junior engineers and lead architectural discussions.
Responsibilities
Lead the design and implementation of data pipelines for analytics and reporting.
Ensure data engineering best practices are defined and followed.
Mentor junior team members and conduct code reviews to ensure quality standards.
Collaborate with stakeholders to translate business needs into technical solutions.
Own end-to-end management of data projects in a fast-paced environment.
Optimize data workflows and processes for efficiency and scalability.
Evaluate and implement new data technologies and frameworks.
Benefits
Flexible work hours and remote work options.
Professional development opportunities and training.
Health, wellness, and retirement benefits.
Collaborative and inclusive company culture.
Full Job Description
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
12+ years of progressive experience in data engineering, including 3-5+ years in a technical lead or senior engineering role.
Expert-level proficiency in SQL, including complex query design, performance tuning, cost optimization, and query profiling.
Deep expertise in data warehousing and modeling concepts, including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vault-style patterns.
Proven experience leading the design, development, and deployment of scalable, cloud-native data pipelines(ETL/ELT) supporting enterprise analytics and reporting.
Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams.
Strong knowledge of data governance, security, privacy, and compliance, including role-based access, data classification, and auditability.
Proven experience mentoring junior engineers, conducting code/design reviews, and guiding teams toward scalable and maintainable solutions.
Excellent problem-solving and analytical skills, with the ability to make architectural decisions under ambiguity.
Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
Ability to own end-to-end data initiatives, work independently, and lead teams effectively in a fast-paced, Agile environment.
