Data Engineer

Position Title: Data Engineer

Location: US-Remote #LI-Remote #LI-BN1

About the role: 

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 Data Engineer, 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.

How you will make an impact

• Contribute to the technical definition, prototyping, and production-ready enablement of LTK’s data lakehouse, optimizing efficiencies, performance, scale, and cost
• Support the governance of LTK’s data lakehouse
• Participate in the overall strategic direction of the data engineering technology stack
• Stay abreast of data engineering technical trends and emerging approaches
• Evaluate new technologies and/or custom solutions
• Facilitate on-time delivery of technical work products
• Effectively communicate and gain alignment both within team and with interdependent teams and stakeholders 
• Produce high quality technical documentation and artifacts that are easily consumable by data teams and other engineering teams
• Build required infrastructure for optimal ETL/ELT processes for data from various data sources using AWS, SQL and orchestration technologies. 
• Ensure the reliability and quality of data across the data lake (at rest) and in the pipelines (in motion)

What you will bring to LTK

• 2-5 years experience in building data pipelines, coding for data management, data warehousing, or other data environments, including, but not limited to Spark.
• Bachelor’s degree in information systems, computer science, or a related field; Master’s preferred
• Experience in system design and application architecture for data platforms;
• Experience driving end to end ETL data pipelines, from ingestion of data to consumption by business intelligence, analytics and other data consumer teams
• Experience in application design and implementation, using agile practices;
• Experience with Data management and Data governance processes and standards;
• Strong experience in Python programming at minimum, with demonstrated real-world experience building out data tools in Cloud environments
• Extensive knowledge in SQL fine tuning, optimizers and execution plans;
• Experience building complex data models to handle millions of transactions;
• Proven experience working with AWS cloud computing environment. Profound knowledge of AWS Data services (eg: Redshift, S3, EMR, Glue, RDS, Kinesis, etc.)
• Demonstrated expertise in at least 2 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 experience designing and working with at least 2 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
• Experience with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.)