IPSY Careers

Description

REMOTE ELIGIBLE ROLE

Only Argentina based applicants will be considered. At this time, we are able to hire remote employees in Argentina. Please submit a CV in English.

About the Role:

We are seeking a Data Engineer to work on challenging data engineering projects , help define and lead the Data Architecture, Data Quality, Data Governance, ingesting, processing, and storing millions of rows of data per day. This hands-on hybrid role helps solve real big data problems.In this role the candidate should be hands-on in building cloud data platforms and also work with the team in making architectural decisions. You will be designing solutions, writing code and automation, defining standards, establishing best practices across the company and building world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured thinker passionate about building systems at scale. This position reports to the Senior Engineering Manager, Data & Personalization and can be fully remote.

What You’ll Be Doing:

• Design, implement and work on Data engineering , contribute and suggest  Data Architecture, Data Quality, Data Governance across pods
• Follow and help Define data modeling standards and foundational best practices
• Develop and evangelize data quality standards and practices
• Solving complex problems and coding 
• Establish data governance processes, procedures, policies, and guidelines to maintain the integrity and security of the data.
• Drive the successful adoption of organizational data utilization and self-serviced data platforms. 
• Create and maintain critical data standards and metadata that allows data to be understood and leveraged as a shared asset
• Develop standards and write template codes for sourcing, collecting, and transforming data for streaming or batch processing data. 
• Design data schemes, object models, and flow diagrams to structure, store, process, and integrate data
• Provide architectural assessments, strategies, and roadmaps for data management.
• Apply hands-on subject matter expertise in the Architecture and administration of Big Data platforms, Data Lake Technologies (AWS S3/Hive), and experience with ML and Data Science platforms.
• Implement and manage industry best practice tools and processes such as Data Lake, Databricks, Delta Lake, S3, Spark ETL, Airflow, Hive Catalog, Redshift, Kafka, Kubernetes, Docker, CI/CD
• Translate big data and analytics requirements into data models that will operate at a large scale and high performance and guide the data analytics engineers on these data models.
• Define templates and processes for the design and analysis of data models, data flows, and integration.
• Lead and mentor Data Analytics team members in best practices, processes, and technologies in Data platforms

What We are Looking For:

• B.S. or M.S. in Computer Science, or equivalent degree
• 8+ years of hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting.
• 5+ years of hands-on experience in productionizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Parquet, Avro, and more
• extensive experience in understanding a variety of complex business use cases and modeling the data in the data warehouse. 
• Highly skilled in SQL, Python, Spark, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, or similar tools.
• Knowledge of infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with Amazon Web Services (AWS) or similar cloud computing platforms
• Strong verbal and written communications skills are a must and work effectively across internal and external organizations and virtual teams.
• Demonstrated industry leadership in the fields of Data Warehousing, Data Science, and Big Data related technologies.
• Strong understanding of distributed systems and container-based development using Docker and Kubernetes ecosystem is an added advantage
• Knowledge of data structures and algorithms.
• Experience in working with teams using CI/CD and agile methodologies is an added advantage

What We Offer:

• Competitive salary (usd)
• Paid time off & work from home flexibility
• Learning & development programs

ABOUT US
IPSY is the largest beauty membership in the world, home to sample-size beauty subscription Glam Bag, full-size beauty subscription BoxyCharm, celeb-curated collection Icon Box, and personal care brand Refreshments.

Through product innovation, machine learning technology, and a community-first mindset, IPSY democratizes beauty by delivering not only personalized experiences, but the feeling of authentic self-expression that comes with the discovery of beauty products tailored to your unique preferences.

Our world-class team—from merchandising to machine learning, editorial to engineering, and everything in between—works behind the scenes to make personalized beauty discovery possible.

​Check out our Career Site to learn more about life, culture, benefits, and perks at IPSY: https://www.ipsycorporate.com/careers

EEO Statement: We are an equal opportunity employer who celebrates diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

As we are US based company to comply with country specific employment laws we partner with local in country payrolling agencies

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us. 

BFA Industries is based in the U.S. and we partner with the local agency, Nexton, that assists us with employee recruiting and payroll. Any personal information that you share with us is subject to our privacy policy.

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