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About the RoleIn this role, you will design highly scalable and high performing technology solutions in an Agile work environment and produce and deliver code and/or test cases using your knowledge of software development and Agile practice. You will collaborate closely with business support teams, product managers, security and architecture to assist in resolving critical production issues to help simplify and improve business processes through the latest in technology and automation. You are a technical expert that will lead through the requirements gathering, design, development, deployment, and support phases of a product. You are proficient in at least one core programming languages or packages.What You'll Do
- Senior Data Engineer with expertise in designing and implementing scalable data solutions, including robust data pipelines.
- Strong proficiency in ETL processes, MLOps practices for efficient model deployment, and utilizing technologies such as Databricks, DataLake, Vector DB, and Feature Store are essential
- Design, optimize, and maintain scalable data pipelines using PySpark (Apache Spark), Python, Databricks, and Delta Lake.
- Implement MLOps practices for efficient deployment and monitoring of machine learning models.
- Should be able to Develop strategies and tools for detecting and mitigating data drift.
- Utilize Vector DB for effective data querying and management.
- Establish and manage a Feature Store to centralize and share feature data for machine learning models.
- Ensure data integrity and quality throughout all stages of the pipeline.
- Collaborate with teams and stakeholders to deliver impactful data solutions.
- Demonstrate proficiency in Python programming, PySpark (Apache Spark), data architecture, ETL processes, and cloud platforms (AWS, Azure, GCP
Who You Are
- Overall 5+ years experience into Databricks, Delta Lake, PySpark (Apache Spark), MLOps, Data Drift Detection, Vector DB and Feature Store .
- Expeience into Designing, Optimizing and Maintianing Data Pipelines
- Experinence into Implementaton of MLOps practices for efficient deployment and monitoring of ML models
- Should be able to Develop strategies and tools for detecting and mitigating data drift.
- Utilize Vector DB for effective data querying and management.
Top Skills
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands.
Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco.
Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next.
Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead.
We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
