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AWS Data Architect

Mango Analytics

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. 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. #J-18808-Ljbffr

Vacancy posted 1 day ago
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