Senior Data Engineer
Senior Data Engineer
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Job Description
Move Your Career Forward with DAC as a Senior Data Engineer
Who We Are
We are DACa global fullfunnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO paid media creative production analytics and local optimization we combine the brightest minds with innovative technology to deliver seamless forwardthinking strategies. Powered by AI data and creative ingenuity we deliver integrated campaigns that engage customers at every touchpointfrom global audiences to individual store locations.
Position Summary
We are looking for aSenior Data Engineerwith 7 years of experience in data engineering specializing in cloud data warehousing solutions like Snowflake and orchestration tools like Dagster. The ideal candidate will have advanced expertise in architecting scalable data pipelines data modeling and integrating data from various marketing platforms. They should be proficient in collaborating with crossfunctional teams driving data strategy and have a proven track record of establishing data engineering best practices.
What Youll Do
- Lead the establishment of our data engineering practice setting standards and best practices.
- Design develop and maintainscalable data pipelinesandETL/ELT processes.
- Migrate existing data infrastructure to Snowflake ensuring optimal performance and scalability.
- Implement and manage data orchestration workflows using tools likeDagster.
- Integrate data from various marketing data sources includingfunnel into our data warehouse.
- Collaborate with data analysts and business stakeholders to understand data needs and deliver solutions.
- Ensuredata quality integrity lineage and security across all data pipelines.
- Provide technical leadership andmentorship to junior data engineers.
- Work closely with the analytics team to support data visualization efforts inQlik Sense.
- Stay updated with the latest industry trends in data engineering and propose innovative solutions.
What You Bring
- 7 years of experience in data engineering roles.
- Strong expertise incloud data warehousing solutions particularlySnowflake.
- Experience withdata orchestration toolssuch asDagsterAirflow or similar.
- Proficiency inETL/ELT processes data modeling and building scalable data pipelines.
- Strong programming skills inSQLand Python.
- Familiarity with data visualization tools preferablyQlik Sense.
- Proven ability tolead and mentorjunior data engineers.
- Excellent problemsolving skills and attention to detail.
- Strong communication skills with the ability to collaborate effectively with crossfunctional teams.
What Youll Get
- Professional Growth: Work with toptier clients and cuttingedge tools in the performance marketing industry.
- Collaborative Culture: Be part of a global organization that values curiosity transparency and innovation.
- Competitive Benefits:
- Competitive salary and comprehensive health benefits.
- Generous PTO wellness initiatives and parental leave.
- Retirement saving plans.
- Opportunities for continued learning and professional development.
- A supportive collaborative and casual work environment.
How We Work
This role requires two inoffice days per week with three days inoffice during the threemonth orientation period. Remote work is not available for this position.
This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties responsibilities and qualifications may vary based on assignment or group. DAC is an equal opportunity employer committed to providing equal employment opportunities to all employees and applicants without regard to race color ethnicity gender age religion creed national origin sexual orientation gender identity marital status citizenship genetic information disability or any other basis prohibited by applicable federal provincial or municipal law. If you require an accommodation in any aspect of the selection process please reach out to
Required Experience:
Senior IC
Employment Type
Full-Time
