
Data Systems Architect
4 days ago
As a seasoned data engineer, you will be pivotal in our organization's data-driven strategy. Your expertise in Big Data and related technologies will be instrumental in driving our business forward.
Key Responsibilities:- You will design, develop, and deploy large-scale data processing systems using Apache Spark to drive business insights.
- Your role will involve developing high-quality, efficient code in Python for data analysis and visualization.
- You will collaborate with cross-functional teams to integrate data from multiple sources, including RDBMS, ERP, and files.
- You will lead the development of stream-processing systems using technologies like Apache Storm or Spark-Streaming.
- You will optimize the performance of Spark Jobs and refine data processing pipelines.
- You will work with cloud-based native data services like AZURE Databricks.
- A minimum of 5 years of experience in Big Data & Data related technology is required.
- Expert-level understanding of distributed computing principles is essential.
- Expert-level knowledge and experience in Apache Spark are mandatory.
- Hands-on programming with Python is a must.
- Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop is necessary.
- Experience with messaging systems like Kafka or RabbitMQ is desirable.
- A good understanding of Big Data querying tools like Hive and Impala is beneficial.
- Experience with NoSQL databases like HBase, Cassandra, MongoDB is advantageous.
- Knowledge of ETL techniques and frameworks is essential.
- The ability to lead a team efficiently is crucial.
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Data Systems Architect
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2 weeks ago
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