
Data Architect
1 day ago
Overview:
We are seeking an experienced Data Architect to lead the development of our big data ecosystem. As a key member of our team, you will be responsible for designing and implementing scalable data solutions that drive business growth.
Key Responsibilities:
- Design and develop distributed computing systems using Apache Spark and Hadoop v2.
- Develop expertise in big data querying tools like Hive and Impala.
- Lead the integration of data from multiple sources, including RDBMS, ERP, and files.
- Prioritize performance tuning of Spark Jobs to ensure optimal system performance.
- Collaborate with cross-functional teams to design and implement big data solutions using agile methodologies.
Requirements:
- 8 - 12 years of experience in big data and data-related technologies.
- Expert-level understanding of distributed computing principles and Apache Spark.
- Hands-on programming experience with Python.
- Proficiency with HDFS, Sqoop, and messaging systems like Kafka or RabbitMQ.
- Good understanding of relational schemas, SQL queries, joins, stored procedures, and ETL techniques.
- Experience with NoSQL databases like HBase, Cassandra, and MongoDB.
What We Offer:
- A collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
- A competitive salary and benefits package.
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