Big Data Developer
1 week ago
We are seeking an experienced Big Data Developer to join our dynamic team. The ideal candidate will have a strong background in big data technologies, data engineering, and distributed systems. This role requires expertise in handling large-scale data processing systems, ensuring data reliability, and driving data-driven :
- Design, develop, and implement scalable Big Data solutions using Hadoop, Spark, and other data processing frameworks.
- Develop ETL pipelines to ingest, process, and transform large data sets efficiently.
- Work with structured, semi-structured, and unstructured data to create data pipelines that enable actionable insights.
- Build and maintain data workflows and automated solutions for data processing.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions.
- Ensure data quality, consistency, and security throughout the data lifecycle.
- Optimize performance of data pipelines, ensuring minimal latency and high throughput.
- Troubleshoot and resolve data-related issues, ensuring data integrity and availability.
- Document system designs, data flows, and key technical details.
Requirements :
- Expertise in Hadoop Ecosystem (HDFS, Hive, HBase, YARN, etc. ).
- Proficiency in Apache Spark, Kafka, and Scala/Java/Python.
- Strong understanding of SQL and data manipulation techniques.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Familiarity with data streaming technologies such as Kafka or Flink.
- Hands-on experience with data visualization tools and BI platforms is a plus.
- Bachelor's/Master's degree in Computer Science, IT, or a related field.
- 6-8 years of experience in Big Data development and data engineering.
- Strong problem-solving skills with excellent analytical capabilities.
- Ability to work independently and as part of a collaborative team environment.
(ref:hirist.tech)-
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