Location: Yerevan, Armenia
Category: Information Technology
Type: Full Time
Deadline: 24-Apr-20 12:00:00 AM
Salary: Highly competitive
Description
Senior Data Engineer, Appointment Scheduling Service
Position Overview
DataArt is assembling a team for a client that is developing a medical appointments booking platform. Forty percent of U.S. residents use its services in more than 2000 cities, and more than 10 million appointments a month are booked through the platform.
Senior Data Engineer in the project helps build infrastructure for collecting, storing, processing, and analyzing huge sets of data in batch and streaming pipelines. The specialist will work with the Product Engineering, Marketing, and Sales teams to model data and build ETL. The engineer is expected to be an influential contributor to the design and implementation of data flows and tools necessary to make key strategic decisions, and power machine learning and personalization within the product.
Responsibilities
-Contribute working on scaling and enhancing near-real-time analytics platform
-Write and maintain data pipelines
-Communicate and collaborate with partner teams across the company to assess data needs and prioritize accordingly. Be proactive about driving data collection and storage best practices
-Provide thought leadership and execute on architecture and infrastructure
-Build data tooling to enable data lake, data warehouse, and analytics workflows within the AWS cloud
-Drive adoption of data tools. Give tech talks and demos on the newest capabilities and enhancements to the system
-Consult on data security, design, and scalability to product engineering teams
-Work closely with the Data Science and Business Intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
RequiredQualifications
-5+ years engineering experience, 2+ years working with data in the cloud, ideally using AWS
-Experience working with AWS tools or other cloud provider tools (Redshift, S3, Lambda, EMR, Kinesis (Firehose), ECS, etc.)
-Experience supporting Machine Learning or Business Intelligence teams and products
-Good knowledge of Python
-Expertese in SQL and comfortable designing, writing and maintaining complex SQL based ETL
-Experience building large-scale batch and micro-batch data pipelines; ETL design, implementation, and maintenance
-Experience with schema design and data modeling, and analytical skills to QA data and identify gaps and inconsistencies.
-Computer Science or related degree.
-Spoken English.
Benefits
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