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About the Role We are seeking a skilled professional to join our team as a Data Infrastructure Specialist. This is a hybrid role that combines data engineering with data science overlap, giving you full ownership of the data lifecycle — from ingestion to transformation, analysis, and storytelling. You will build and maintain scalable pipelines across cloud environments. Ingest and transform data from files, APIs, mobile telemetry (Firebase, Amplitude, Google Analytics), and external databases into centralized stores. Key Responsibilities: Data Infrastructure & Pipelines Build and maintain end-to-end pipelines in cloud environments. Continuously monitor, troubleshoot, and optimize infrastructure for performance, scalability, and cost-effectiveness. Implement data quality monitoring, governance policies, and best practices for privacy, security, and compliance. Analytics & Insights Conduct exploratory and advanced analysis using SQL, Python, and statistical methods. Collaborate with analysts, data scientists, and product managers to translate business requirements into technical solutions. Support experimentation and A/B testing by ensuring clean, reliable datasets and analyzing results. Qualifications: To be successful in this role, you should have: Bachelor's degree in Computer Science, Engineering, or related field. 3+ years of experience as a Data Engineer or in a similar technical role focused on data infrastructure and pipelines. Strong expertise in SQL and proficiency in Python (or a similar programming language). Experience with AWS and Google Cloud for managing cloud-based databases and analytics tools. Familiarity with data pipeline orchestration tools. Excellent communicator who can bridge technical depth with clear storytelling for non-technical stakeholders.
