
Chief Data Infrastructure Specialist
2 weeks ago
Role Overview
We are seeking a seasoned Data Engineer to spearhead the design, development, and maintenance of our large-scale data systems.
Key Responsibilities:
- Create scalable data architectures using big data technologies like Hadoop and Spark.
- Collaborate with cross-functional teams to integrate data engineering solutions into business applications.
- Evaluate data quality, integrity, and security standards.
- Stay updated on emerging trends and technologies in data engineering.
Requirements:
- At least 5 years of experience as a Data Engineer.
- Proficiency in Python programming language.
- Familiarity with cloud platforms, preferably Azure.
- In-depth understanding of data structures, algorithms, and software design patterns.
- Excellent problem-solving skills and ability to work under pressure.
Nice to Have:
- Experience with machine learning and artificial intelligence.
- Knowledge of data warehousing and business intelligence tools.
- Familiarity with agile development methodologies.
What We Offer:
- A dynamic work environment that fosters growth and innovation.
- Opportunities to collaborate with experienced professionals in the field.
- A comprehensive benefits package designed to support your well-being.
How to Succeed:
- Develop a strong understanding of our data systems and requirements.
- Communicate effectively with cross-functional teams to ensure successful integration.
- Continuously evaluate and improve data quality, integrity, and security standards.
- Stay up-to-date with industry trends and advancements in data engineering.
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