Director of Data Engineering

Company:
Location: Pune, Maharashtra

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Frontdoor is investing heavily in advanced technology and is looking to bring a strong director of data engineering that will architect and build a state-of-the-art machine learning infrastructure for the company. This person will lead a team of talented ML and data engineers who will collaborate closely with the data science team to develop tools that will speed up their work and convert model prototypes into production ML systems. In addition, this role will lead the development of batch and real-time data pipelines as well as assemble large datasets to support a variety of ML and data science use cases. As the Director of Data Engineering at Frontdoor, you will be working in a fast-paced environment and using cutting-edge cloud technologies to develop a scalable data platform that will support years of company growth.

Responsibilities:
Grow, lead, and mentor a team of machine learning and data engineers.

Work with data science and business stakeholders to deploy scalable machine learning models in production in a timely manner.

Design and implement a self-service platform to speed up development and automate the deployment and scaling of ML models in production.

Assemble large, complex data sets that meet requirements to support data science and analytics projects.

Responsible for architecting and managing the infrastructure to support all stages of the machine learning model lifecycle, including feature engineering, feature store, model training, testing, monitoring, and deployment in a production environment.

Build and maintain A/B testing infrastructure for analytics and data science experimentation.

Proactively identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Build applications using open-source frameworks for big data processing and data orchestration (e.g. Apache Airflow, Kubernetes, Spark).

Support daily operations and production of our data platform, including monitoring, quality, and governance utilities, CI/CD pipelines, and all data integration touchpoints.

Qualifications:
Bachelor’s degree in Computer Science, Engineering, Data Science or related field (Master’s or PhD preferred).

Excellent communication skills in English (oral and written).

10+ years of data platform / engineering experience with 7+ years of experience building big data pipelines using Python, SQL, and Apache Spark.

5+ years deploying and maintaining ML models in production with demonstrable business impact.

Experience building streaming pipelines using Kafka and/or Spark.

Experience with cloud architecture services (AWS and GCP) including Cloud Computing Capacity (EC2), Data Lakes (S3), Data Warehouses, Serverless Computing (Lambda / GCFs, Containers, Kubernetes).

Familiarity with open-source orchestration tools such as Kubernetes, Apache Airflow and Apache Spark and how to apply them.

Working knowledge of agile development, including DevOps concepts (IAC, CI/CD, etc.)

Snowflake experience is a plus.

Frontdoor is a company that’s obsessed with taking the hassle out of owning a home. With services powered by people and enabled by technology, it is the parent company of four home service plan brands: American Home Shield, HSA, Landmark and OneGuard, as well as AHS Proconnect , an on-demand membership service for home repairs and maintenance, and Streem, a technology company that enables businesses to serve customers through an enhanced augmented reality, computer vision and machine learning platform. Frontdoor serves more than two million customers across the U.S. through a network of more than 16,000 pre-qualified contractor firms that employ over 45,000 technicians. The company’s customizable home service plans help customers protect and maintain their homes from costly and unexpected breakdowns of essential home systems and appliances. With nearly 50 years of experience, the company responds to over four million service requests annually (or one request every eight seconds). For more details, visit frontdoorhome.com (http://cts.businesswire.com/ct/CT?smartlink&url=http%3A%2F%2Ffrontdoorhome.com&esheet=51890761&newsitem20181029005803&lan=en-US&anchor=frontdoorhome.com&index=2&md5=6947c38f3b6d24b5dad0a5d08663858e) .

Job Category: Engineering

ID: R0015056

*** Mention DataYoshi when applying ***

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