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You will work closely with stakeholders across teams to design and build scalable data solutions.\nResponsibilities\nData Infrastructure: Design, develop, and maintain scalable data pipelines and infrastructure to support real-time analytics, data-driven decision-making, and machine learning models.\nCollaboration: Work closely with product, engineering, and leadership teams to ensure data-driven strategies are incorporated into product development and operational processes.\n Data Governance: Establish and maintain robust data governance practices to ensure data quality, integrity, and compliance with relevant regulations.\nWhat we're looking for\n5+ years of experience working in analytics or data engineering roles.\nStrong technical skills in data engineering, data architecture, and analytics. \nProficiency in SQL, Python, R, cloud platforms (AWS, GCP, Azure), DBT, Airflow, and data visualization tools.\nDevelopment: testing, CI/CD, repository management, shell scripting, terminal usage, etc.\nProven ability to communicate complex analytical concepts in a clear and accessible way.\nProactive, curious mindset with a passion for using data to solve real business problems.\nNice to have\nAirbyte, Cosmos.\nAWS: RDS, Redshift, EKS, S3, ECR, IAM, Lambda, Route 53, SSM.\nInfrastructure: Cost management, networking, virtualization, Kubernetes, Karpenter, Grafana.\nConcepts of FinOps and DataOps.\nWhat we offer\n Competitive salary: Salaries paid in USD.\n Stock Options: Stock Options Package as part of your compensation package.\n Flexible remote-first work culture. 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