
Data Systems Architect
2 days ago
Job Title: Big Data Engineer
About the RoleThe company seeks a talented big data engineer to design, develop, and maintain large-scale data processing systems.
The ideal candidate will have a deep understanding of big data technologies such as Hadoop, Spark, and NoSQL databases. They will work closely with cross-functional teams to collect, process, and analyze vast amounts of data to gain valuable insights.
We are looking for a highly motivated and experienced professional who can contribute to the success of our organization by leveraging their expertise in big data engineering.
Key Responsibilities- Design and develop scalable big data architectures using Hadoop, Spark, and other related technologies.
- Implement data ingestion pipelines from disparate sources onto the big data platform.
- Develop and maintain efficient data processing algorithms to extract insights from large datasets.
- Collaborate with data scientists to integrate data models and machine learning algorithms into the big data ecosystem.
- Ensure data quality, security, and compliance with organizational standards.
To be successful in this role, you should have:
- 6-12 years of experience in big data engineering, preferably with a focus on Hadoop and Spark.
- Strong knowledge of programming languages such as Java, Python, or Scala.
- Familiarity with data processing frameworks like PySpark, Hive, and Sqoop.
- Experience with Agile Scrum methodologies and version control systems like Git.
- Excellent problem-solving skills, attention to detail, and ability to work under pressure.
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