Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring
Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes
Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies
Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub
Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines
Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making

Requirements

5+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow
Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc.
Sales Data Domain Expertise: Hands-on experience working with Sales Pipelines and bookings (Accounts, Opportunity, Role hierarchy, etc), Quota Attainment, RBACs, etc
Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterprise
Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc.
Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption
Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.

Benefits

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata transformationsscripting languagesPythonAirflowDBTSQLdata modelingCI/CDdata validation

Soft Skills

stakeholder engagementstrategic decision-makingproblem-solving