
Principal Big Data Specialist
6 days ago
We are seeking a highly skilled professional to join our team as a Big Data Engineer.
- This is an exciting opportunity for a talented individual who is passionate about working with big data and has experience in designing, building, and maintaining large-scale data processing systems.
Key Responsibilities:
- Design, develop, and maintain scalable data processing architectures using PySpark and Apache Spark.
- Work with large datasets in distributed computing environments, ensuring high performance and efficiency.
- Develop and implement data pipelines using Python for data processing and automation.
- Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
- Stay up-to-date with industry trends and emerging technologies, applying that knowledge to improve our data processing capabilities.
Requirements:
- A minimum of 3 years of experience in big data engineering, with a strong focus on PySpark and Apache Spark development.
- Proficiency in Python for data processing and automation.
- Expertise in SQL for querying, transformation, and performance tuning.
- Hands-on experience with Databricks or similar cloud-based big data platforms.
- Strong understanding of data engineering best practices, including version control, CI/CD, and testing.
- Knowledge of data modeling, ETL frameworks, and workflow orchestration tools.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Familiarity with Delta Lake, Lakehouse architecture, or data warehousing concepts.
- Excellent problem-solving and communication skills.
Benefits:
- A competitive salary and benefits package.
- The opportunity to work on challenging projects with a talented team.
- A collaborative and dynamic work environment.
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