Position: Lead AWS Data Engineer
Company: GlobalLogic
Experience required: 5y
English level: upper

**Description**

Medical healthcare web solution for world-leading connected health company with more than 5 million cloud-connected devices for daily remote patient monitoring. Award-winning devices and cloud software solution that help treat and manage sleep apnea, chronic obstructive pulmonary disease and other respiratory conditions.

**Requirements**

**Must have:**
- Engineering degree in IT / Computer Science/ software engineering or relevant field
- Total 5+ year IT experience
- Minimum 3+ years of relevant AWS experience in a complex, technical environment
- At least one aws s3 datalake project experience
- AWS Certified Solutions Architect – Associate/Professional level or ability to pass certification in a short-term perspective
- Proficiency in Python is required
- AWS Glue experience is critical
- Experience with AWS cloud services: (Redshift, RDS, EMR, Kinesis, S3, Glue, DMS-Batch/CDC, Athena, EC2, Lambda, SQS, SNS etc.)
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Excellent communication skills
- Advanced English

**Nice to have:**
- Experience working on Spark/Scala, Kafka, Elasticsearch
- Excellent working knowledge on Linux
- Experience working with Data Scientist
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Strong analytic skills related to working with unstructured datasets.
- Experience in manipulating, processing and extracting value from large disconnected datasets.
- Experience working on AWS Data Pipeline and CI/CD processes
- Exposure to Hadoop Ecosystem preferably on AWS/EMR, NoSQL-based, SQL-like technologies
- Experience with Data Science tools & technologies on AWS Cloud is plus
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Excellent communication and able to work with stakeholders

**Responsibilities**
- Ability to interact with the business stakeholders to understand requirements and translating into technology solutions
- Architect, design, develop and engineering end-to-end data pipelines across multiple data sources and systems of records
- Ensure data quality, integrity, security and completeness throughout the data lifecycle
- Develop, design data models, data structures and ETL jobs for data acquisition and manipulation purposes
- Develop deep understanding of the data sources, implement data standards, maintain data quality and master data management
- Manage and maintain cloud based data and analytics platform
- Engage in quick proof of concepts and proof of value in prototyping data and analytics solutions and derive viability