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2 days ago
The role of a Senior Data Engineer involves designing, developing, and deploying scalable data pipelines using cloud-based platforms such as Azure Databricks or AWS Databricks. As part of our team, you will work closely with cross-functional teams to ensure seamless integration of data systems.
Key Responsibilities:
- Designing and implementing efficient data processing workflows that meet business requirements.
- Maintaining high-quality code, adhering to coding standards and best practices.
- Collaborating with stakeholders to understand their needs and provide actionable insights through data analysis.
- Staying up-to-date with industry trends and emerging technologies in data engineering.
Required Skills and Qualifications:
- 5+ years of experience in data engineering, with a strong background in programming languages such as Python, Scala, and Spark.
- Excellent communication and interpersonal skills, with the ability to work effectively in a fast-paced environment.
- Strong problem-solving skills and attention to detail, with the ability to prioritize tasks and manage multiple projects simultaneously.
- Experience with Agile development methodologies and version control systems, such as Git.
Benefits:
- Opportunities for professional growth and development, including training and mentorship programs.
- A collaborative and dynamic work environment that fosters innovation and creativity.
- Competitive salary and benefits package, including health insurance and retirement plans.
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