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.
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
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
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
Exciting Projects : Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment : Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment or even abroad in one of our global centers or client facilities!
Work-Life Balance : GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
Professional Development : Our dedicated Learning & Development team regularly organizes certification and technical / soft skill trainings to help you realize your professional goals.
Excellent Benefits : We provide our consultants with competitive compensation and benefits
Fun Perks : We want you to love where you work, which is why we host sports classes, cultural, social and teambuilding activities such as sports competitions and end-of-year corporate parties.
Our vibrant offices also include dedicated GL Zones and rooftop decks where you can drink coffee or tea with your colleagues over a game of table football or darts!