Senior Data Engineer

Yesterday

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Tiger Analytics

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AI & Analytics for today’s business challenges.

Machine Learning • Predictive Analytics • Forecasting • Optimization • Natural Language Processing

1001 - 5000

Description

• Designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku • Collaborating closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization

Requirements

• 8+ years of overall industry experience specifically in data engineering • Strong knowledge of data engineering principles, data integration, and data warehousing concepts • Strong understanding of the pharmaceutical/ Life Science domain • Proficiency in data engineering technologies and tools such as SQL, Python, ETL frameworks, data integration platforms, and data warehousing solutions • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms - AWS, Azure • Strong analytical and problem-solving skills • Strong communication and collaboration abilities • Attention to detail and a focus on delivering high-quality work

Benefits

• Significant career development opportunities • Unique opportunity to be part of a small, challenging, and entrepreneurial environment • High degree of individual responsibility