
Big Data Specialist
7 days ago
We are currently seeking a skilled professional to fill the role of PySpark Data Engineer.
Job DescriptionThe successful candidate will be responsible for designing, implementing and maintaining PySpark-based applications to handle complex data processing tasks. This includes ensuring data quality, integrating with diverse data sources, and developing robust error handling mechanisms. Additionally, they will be expected to optimize PySpark jobs for performance, including partitioning, caching, and tuning of Spark configurations.
Required Skills and Qualifications- Bachelors degree in Computer Science, Information Technology or a related field.
- 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
- Strong understanding of data processing principles, techniques and best practices in a big data environment.
- Proficiency in PySpark, Apache Spark and related big data technologies for data processing, analysis and integration.
- Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills to work effectively with data analysts, data architects and other team members.
This is an excellent opportunity to join a dynamic team and contribute to the development of cutting-edge data processing solutions. The ideal candidate will have a strong passion for big data technologies and a desire to continuously learn and grow.
How to ApplyInterested candidates should submit their resume and cover letter outlining their relevant experience and qualifications.
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