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About the role
Preferred Education: Bachelor?s degree in Computer Science, Engineering, or related field Required Experience: 7+ years of relevant experience in data engineering, data science, or software development Key Responsibilities Lead and mentor data engineering, data science, and analytics team members Architect and implement scalable end-to-end data pipelines and distributed data processing Design and optimize ETL/ELT workflows and develop REST APIs and microservices Build and maintain cloud infrastructure and implement enterprise data warehousing solutions Must-Have Skills / Technologies Python SQL AWS cloud services Docker Kubernetes Airflow Spark/PySpark Good-to-Have Skills / Technologies Snowflake ELK stack System integrations (Slack, Glean AI, OpenMetadata) GenAI / LLM-based implementations Containerization using Docker and advanced Kubernetes Must-Have Soft Skills Strong leadership Analytical thinking Problem-solving capabilities Stakeholder management Strong verbal & written communication skills Good-to-Have Soft Skills Self-driven and motivated Detail-oriented Patient and persistent Focused
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