Why you should apply for a job to GlossGenius:
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Position summary
About the Role
GlossGenius’s Data Engineering team owns the data platform which is a collection of technology, processes and services that enables data worker personas like analytics engineers, analysts, data scientists, product managers in the company to work with data efficiently and securely at scale and help drive insights.
As a Sr Data Engineer, you will be responsible for designing, building and maintaining data platform capabilities that directly impacts time to reliable insights. You will empower data workers in the company with tools and services that help eliminate frictions so they can work with data efficiently across the value chain and make sure data is secure, compliant with privacy regulations, aligns with SLAs, has high quality and associated context.
What You’ll Do
- Design, build and maintain ingestion pipelines ensuring timely and quality data
- Design, build and maintain our data stack and platform capabilities on transformation, governance, metadata management and data observability
- Ensure operational excellence via automations, cost controls, efficient data ops workflows
- Ensure data platform and data handling practices are secure and compliant with regulations
- Partner with stakeholders - analytics engineers, analysts, data scientists, product managers to understand frictions and quality of life improvements
- Develop and maintain comprehensive documentation for both technical and non technical audiences
- Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed
- Collaborate with team members to identify requirements, define successful outcomes, and deliver trusted results
- Participate in team on call rotations
- Mentor junior engineers
What We’re Looking For
3+ years of experience as a Data Engineer, preferably in a startup or fast-moving environment
Advanced Proficiency with SQL, Python
Solid understanding of data lakehouse concepts and design practices, data platform capabilities like transformation, orchestration, data governance (security and privacy controls, metadata management, data quality), data lineage, data observability, data processing and optimization techniques and data ops workflows
Proficiency in modern data tech stack (cloud native data lakehouse like snowflake, fivetran/ stitch/ ELT pipelines, dbt, airflow/dagster/snowflake tasks and streams)
Experience/ Familiarity with following tech is a big plus
Streaming platforms like Kafka/ Flink, Event Driven Architectures
BI tools like looker/Tableau
AWS Services like S3, lambda, kinesis, MSK, EC2, IAM, ECS
Desire to continually learn and keep up with advancements in data engineering practices
Take ownership and ship medium to large features independently
Excellent communication skills and able to regularly achieve consensus amongst teams
A great team player who commits to the team and welcomes collaboration
What are GlossGenius perks and benefits
On-ramping/Off-ramping parental leave
Remote work policy
Paid paternity
Paid adoptive
Short term disability
About the company
GlossGenius is the platform that tens of thousands of small businesses across the beauty and wellness space rely on every single day to run their business. We empower small business owners to be more successful by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing, and much more. In a short period of time, we’ve ...