Senior Data Engineer

About Lofty Style: As a trailblazer in women's fashion retail, Lofty Style is embarking on an ambitious global expansion. After doubling our size in 2023, we're set to become global opening open new stores in the US and Europe. Our brand ethos centers on providing women with comfortable, versatile, and stylish wardrobe choices. To support our growth and continue our trailblazing innovations, we're seeking a Senior Data Engineer who is passionate about crafting and optimizing our data infrastructure. This role is crucial for harnessing data-driven insights to propel our brand into new territories. Role Overview: As the Senior Data Engineer, you will have the unique opportunity to establish and manage our entire data stack from the ground up. This role involves leading the architectural design sessions to create a modern data stack that integrates seamlessly with our future technology ecosystem. Your work will lay the foundation for advanced analytics, reporting, and data-driven decision-making that will support Lofty Style's global expansion. Key Responsibilities: Develop and optimize data pipelines, ensuring seamless integration with advanced cloud platforms and technologies, including AWS, Databricks, ADLS, Snowflake, and cloud-native databases. Utilize your expertise in scripting languages (Python, R, Java, Scala) and big data tools (Hive, Spark SQL, Databricks, Delta Lake) to drive advanced data analytics and insights. Implement ETL technologies and SQL for complex data transformations and stored procedures, enhancing our data processing capabilities with a special focus on Snowflake's unique features. Promote and implement Dev/Ops practices, creating a culture of continuous integration and delivery within the Data Engineering team. Lead projects involving real-time or near real-time data ingestion, employing strong programming skills in Python, Java, or Scala to meet our dynamic data requirements. Champion the delivery of software and Data Engineering projects, serving as a subject matter expert and leader within the team. Communicate effectively, maintaining excellent oral and written communication skills for successful cross-functional collaboration and strategy articulation. Adapt quickly to new technologies and methodologies, embracing Agile/Scrum practices and demonstrating a commitment to continuous learning and improvement. Qualifications: MS or Ph.D. in a quantitative discipline such as Computer Science, Engineering, Mathematics, Statistics, or related fields. Extensive experience in Data Engineering, with specific proficiency in Spark, Python, PySpark, Hadoop, Kafka, and notably, Snowflake and Databricks and Dataiku. Demonstrated success in delivering complex Data Engineering projects. Deep knowledge of scripting languages, ETL technologies, SQL, big data tools, and Dev/Ops practices. Exceptional communication skills, familiarity with Agile/Scrum methodologies, and the ability to swiftly adapt to new technologies. What We Offer: A key role in establishing a global data infrastructure for a rapidly expanding fashion brand. The opportunity to shape our international expansion and innovation strategy through cutting-edge data solutions. A creative and supportive work environment that values innovation, collaboration, and professional growth. Competitive compensation, comprehensive benefits, and a strong commitment to work-life balance. How to Apply: If you're excited about the prospect of building and managing Lofty Style's data infrastructure and have the required skills and experience, please submit your application. Include your resume, a cover letter detailing your expertise in Data Engineering, especially your experience with cloud and any relevant work samples. Join Lofty Style in our mission to redefine the global fashion retail landscape, leveraging innovative data solutions to support our journey of growth and success.

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Experiência:

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Cargo:

Engenheiro de Dados

Empresa:

Lofty Style

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