AWS Data Architect


Mango Analytics
Dice Job Match Score™
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Job Details
Skills
- Amazon Web Services
- Amazon Redshift
- Amazon S3
- Apache Spark
- Big Data
- Apache Kafka
Summary
AWS Architect
Location : Austin, TX – Hybrid 2 -3 days per week
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.
Key Responsibilities:
• 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.
- Dice Id: 91164862
- Position Id: 9028160
- Posted 9 hours ago
Company Info
About Mango Analytics
We are a cutting-edge tech stealth startup focused on driving innovation in the pharmaceutical industry. As your trusted AI and IT partner, we not only deliver advanced solutions but also provide expert guidance to help you succeed.
Our expertise spans both Clinical Development, including Biostatistics Programming and Submission work, and Commercial Development, covering areas such as Sales Force Effectiveness, Sales and Marketing Analytics, Forecasting, Market Research, and Advanced Analytics.
In addition to our core services, our startup is actively developing a Self-Serve Analytics platform and Prescriber Analytics solutions to empower our clients with real-time insights and data-driven decision-making capabilities.
Beyond the pharmaceutical sector, our extensive knowledge in data and technology allows us to collaborate with various industries, offering tailored solutions in Data Analytics, Digital Marketing, Machine Learning & Gen AI, Cyber Security, GIS, Software Development, QA Automation, and Project Management. We serve clients across the US and around the globe.


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