AWS Data Architect

Mango LLC
Austin, United States of America
yesterday

Role details

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

Job location

Austin, United States of America

Tech stack

API
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Data Architecture
Data Warehousing
Electronic Data Interchange (EDI)
Python
Cloud Services
Data Streaming
Data Processing
Data Storage Management
Data Storage Technologies
Data Ingestion
Spark
Electronic Medical Records
Data Analytics
Integration Frameworks
Kafka
Amazon Web Services (AWS)
Stream Processing
Data Pipelines

Job description

  • Lead a team of data engineers, providing technical guidance and mentorship. Develop and execute a strategic roadmap for data processing, storage, and analytics in alignment with organizational goals.

  • Design, implement, and maintain robust data pipelines using Python and Airflow, ensuring efficient data flow and transformation for analytical and operational purposes. Python, Airflow, S3, Spark(Glue, EMR), Kafka (SQS, Event Bridge), Integration(AppFlow, APIs), AWS Services, Redshift, EMR, DW Concepts & Data Modeling experience

  • Utilize AWS services, including S3 for data storage, Glue and EMR for data processing, and orchestrate data workflows that are scalable, reliable, and secure.

  • Implement real-time data processing solutions using Kafka, SQS, and Event Bridge, addressing high-volume data ingestion and streaming needs.

  • Oversee the integration of diverse systems and data sources through AppFlow, APIs, and other integration tools, ensuring seamless data exchange and connectivity.

  • Lead the development of data warehousing solutions, applying best practices in data modelling to support efficient data storage, retrieval, and analysis.

Requirements

Skills : Python, Airflow, AWS Services, S3, EMR, Integration(Fivetran, APIs), Redshift, DW Concepts & Data Modelling experience

Candidate should possess a deep understanding of big data technologies, cloud services, and data architecture, with a proven track record of leading data-driven projects to successful completion.

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