Kunai
51 - 200 employees
Founded 2001
đź’Ľ Consulting
📦 Logistics
đź“Ł Marketing
Consulting • Logistics • Marketing
Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.
Senior Cloud Data Engineer
đź•’ July 14
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
đź‘» Ghost score 38%
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Kunai
51 - 200 employees
Founded 2001
đź’Ľ Consulting
📦 Logistics
đź“Ł Marketing
Consulting • Logistics • Marketing
Kunai is a company focused on accelerating innovation in the financial sector by providing expert services in product development, AI and automation, cloud engineering, and data engineering. Founded by experienced professionals from leading banking and fintech institutions, Kunai aims to transform new ideas into market-ready financial products, enhance operational efficiency through AI, and help clients navigate complex cloud environments, ultimately leading to improved decision-making and customer experiences in finance.
đź“‹ Description
• Own end-to-end data migration execution from GCP to AWS • Build synchronization pipelines with strict SLAs • Implement AWS data architecture • Migrate historical and time-series data at scale • Create monitoring and alerting frameworks • Collaborate with client's stakeholders for data governance
🎯 Requirements
• Bachelor's Degree or equivalent experience • 5+ years of experience in data migration • Experience with BigQuery to Redshift and Cloud SQL to Aurora/RDS • Solid knowledge in data mapping, schema conversion, and ETL/ELT pipeline design • Experience in building synchronization pipelines with SLAs • Expertise in AWS services: Redshift, Aurora PostgreSQL, DMS, Glue, Kinesis, MSK, Lambda, S3, Lake Formation • Potential cloud certifications (AWS, GCP) are valued
🏖️ Benefits
• Competitive compensation • Professional development opportunities • Flexible work arrangements
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