
Senior Big Data Analyst
4 days ago
This is a key role within the organization that involves designing, developing, and maintaining large-scale data processing systems using Azure Databricks.
Key Responsibilities:
- We are looking for an experienced professional to design and implement data pipelines using Apache Spark and Azure Databricks.
- The ideal candidate will collaborate with cross-functional teams to integrate data engineering solutions with business requirements.
- Developing high-quality code adhering to industry standards and best practices is essential for this role.
- Troubleshooting and resolving complex technical issues in a timely manner is critical.
- Staying up-to-date with emerging technologies and trends in data engineering is vital.
Requirements:
- Mastery of data engineering concepts, including ETL, data warehousing, and big data analytics is necessary.
- Proficiency in programming languages such as Python, Scala, or Java is required.
- Experience with cloud-based services, particularly Azure is expected.
- Familiarity with DevOps tools and methodologies is essential.
Preferred Qualifications:
- Mastery of machine learning algorithms and deep learning techniques would be highly beneficial.
- Experience with natural language processing and computer vision would be advantageous.
- Familiarity with containerization using Docker would be an asset.
- Knowledge of cybersecurity principles and practices would be desirable.
Benefits:
- A collaborative and dynamic work environment.
- Opportunities for professional growth and development.
- A competitive compensation and benefits package.
- Recognition and rewards for outstanding performance.
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