
Chief Data Architect
3 days ago
We are seeking an experienced Big Data Engineer to design and implement scalable big data solutions.
- Key Responsibilities:
- Create data pipelines for ingestion from disparate sources onto big data platforms.
- Evaluate and improve data processing and analytics to ensure high-quality results.
- Collaborate with cross-functional teams to develop and maintain big data infrastructure.
- Implement Spark, HBase, DQ tool, and Agile Scrum methodologies as needed.
Requirements:
- 6-12 years of experience in big data engineering.
- Proven track record of designing and implementing scalable data solutions.
- Familiarity with data ingestion tools such as PySpark and Hive.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
About the Role:
This is a challenging role that requires a strong background in big data engineering. If you have experience working with large datasets and a passion for data-driven decision making, we encourage you to apply.
Contact Information:
Please note that this is not a location-specific role.
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