Data Solutions Architect

iMedhas Consulting Services
New York, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

New York, United States of America

Tech stack

Agile Methodologies
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Data as a Services
Data Architecture
Information Engineering
Data Systems
PostgreSQL
Amazon Web Services (AWS)
SQL Databases
Data Processing
Scripting (Bash/Python/Go/Ruby)
Electronic Medical Records
Data Lake
PySpark
Information Technology
Amazon Web Services (AWS)
Data Pipelines

Requirements

Senior Data EngineerPosition Summary:The Senior Data Engineer leads complex data engineering projects, working on designing dataarchitectures that align with business requirements. This role focuses on optimizing dataworkflows, managing data pipelines, and ensuring the smooth operation of data systems.Minimum Qualifications:? 8+ Years overall IT experience with minimum 5 years of work experience in below techskills? Tech Skills:? Strong experience in Python Scripting and PySpark for data processing? Proficiency in SQL, dealing with big data processing? Proven experience in data processing for data lake in Iceberg format, withstrong understanding of architecture? Experience in AWS Glue jobs? Experience in AWS cloud platform and its data services (S3, Redshift, Lambda,EMR, Airflow, Postgres, SNS, Event bridge)? Expertise in BASH/Shell scripting? Strong understanding of healthcare Finance systems and experience leading dataengineering teams? Experience in Agile environments.? Excellent problem-solving skills and attention to detail.? Effective communication and collaboration skills.Responsibilities:? Leads development of data pipelines and architectures that handle large-scale data sets.? Designs, constructs, and tests data architecture aligned with business requirements.? Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions.? Collaborates with product, finance, and other business units to ensure data pipelinesmeet business requirements.? Oversees development of data solutions that enable predictive and prescriptiveanalytics.? Ensures the technical quality of solutions, managing data as it moves acrossenvironments.* Aligns data architecture to Healthfirst solution architecture.

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