
Big Data Solutions Architect
1 day ago
Our organization is seeking a seasoned Data Engineer to spearhead the development of scalable data solutions.
The ideal candidate will possess a deep understanding of big data technologies, including HDFS, Hive, and Spark architecture. Proficiency in working with Python and PySpark programming languages is also essential.
- Key Responsibilities:
- Design and implement efficient data processing workflows using Python and PySpark
- Collaborate with cross-functional teams to integrate data solutions into existing infrastructure
- Develop expertise in building scalable ETL workflows and handling large datasets
- Work closely with data analysts to ensure seamless data integration and analysis
Requirements:
- 6-8 years of experience in big data engineering
- Strong background in HDFS, Hive, and Spark architecture
- Proficiency in working with Avro, ORC, and Parquet file formats
- Experience with Delta Lake and Apache Iceberg table formats
Why This Role Matters
This position plays a crucial role in driving our organization's data-driven initiatives forward. The successful candidate will have the opportunity to work on high-impact projects, collaborate with a talented team, and contribute to the growth and success of our organization.
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