Job Location: Remote
Job Detail:
LTK is the largest influencer-driven platform used by millions of shoppers every month to find new styles and products curated by influencers all over the world. As a Senior Data Engineer II, you will be part of a growth-hungry, acceleration-minded team of problem-solvers and product-builders. This is an opportunity to grow with a fast-growing organization. We thrive in an extremely dynamic competitive environment. We focus relentlessly on the needs of our influencers, brands, and consumers. We seek thought-leaders who can collaborate effectively with product managers, designers, and engineers to identify actionable insights to help us grow.
Title: Senior Data Engineer II – Data Products | Ingestion and Curation
Responsibilities
- Senior data engineering leader responsible for building robust, reliable, and usable data pipelines and data sets that are used to fuel LTK’s products, analytics, and data science solutions
- Bring modern technical strategies that optimize data engineering technical approach, workflows, and processes
- Lead data engineering optimization projects and initiatives
- Lead all aspects of data pipeline design activities (definition, analysis, architecture design, estimation)
- Participate in shaping, scoping, and setting technical direction for major projects and initiatives, working with product owners and engineering leads
- Lead analytical dimensional model design activities and support on-going improvement and useability of high value data sets
- Identify high value opportunities for using our data to drive the business forward
- Set robust, comprehensive design and development standards with clarity
- Develop reusable data engineering approaches and patterns
- Serve as a mentor to more junior data engineers; guide and facilitate work of other team members
- Lead out in an agile development environment, effectively planning, grooming, and delivering data engineering work
- Produce high quality technical documentation and artifacts that are easily consumable by data teams and other engineering teams
Qualifications
- Experience building production data pipelines, ELT/ETL solutions, data lakes, and data warehouses at a large scale
- 7-8+ years in data engineering role on cloud data platform (min 4 years AWS)
- Programming proficiency in cloud data ecosystem using Python, R or Scala (min 5 years)
- 5+ years utilizing large scale Analytic/MPP data warehouse platform (Redshift, Snowflake, Vertica, etc.)
- Highly proficient with complex SQL
- Highly proficient with modern analytical/dimensional modeling approaches, key management techniques, and understanding of how data sets can power a variety of analytic use cases (clustering, segmentation, regression, etc.)
- Highly proficient in engineering data pipelines using big data tooling (Spark, Hudi, Kafka)
- Highly proficient working in AWS cloud environment (S3, Cloud Formation, RDS, AWS Glue, Athena, EMR, Kinesis, Redshift)
- Strong understanding of cloud computing and optimization techniques
- Demonstrated leadership and specialized expertise in at least three (3) of the following:
- Batch data ingestion
- Big data pipeline engineering and optimization
- Analytic/MPP data warehouse optimization
- Analytical data modeling
- Event streaming data processing
- Data pipeline metadata observability
- Data Platform Cost Optimization
- DataOps
- Specialized expertise designing and working with at least three (3) of the following data domains:
- Retail product data
- Ecommerce data
- Consumer profile data
- Clickstream data
- Consumer event data
- Marketing channel/campaign data
- Affiliate data
- Retailer/Brand data
Preferred Qualifications
- AWS Certified Data Analytics – Specialty Certification
- Exposure and experience with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.)
Job Type: Full-time
Pay: Up to $250,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance
Compensation package:
- Bonus pay
- Employee stock ownership plan
- Stock options
Experience level:
- 7 years
Schedule:
- Monday to Friday
Work Location: Remote
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