
Principal Data Scientist
5 days ago
We are seeking an experienced Senior Data Engineer to join our team.
This is a unique opportunity to work on large-scale data platforms, leveraging your skills in big data technologies such as Hadoop, Hive, and Spark.
- Main Responsibilities:
- Data platform operations: manage day-to-day tasks, administration, and monitoring of components.
- Technical support: assist teams with requests related to data copies, query tuning, and more.
- Troubleshooting: resolve issues related to user queries, application jobs, and platform problems.
- Monitoring: ensure the big data platform is running smoothly, including hosted DBs, tools, and services.
- User support: work with end-users to identify and resolve issues.
- Requirements:
- Bachelor's or Master's degree in Computer Science or relevant field.
- 35 years of experience in Hadoop ecosystem, including HDFS, MapReduce, Hive, HBase, Spark, Scala, Yarn, Sqoop, Ranger, Knox, Kerberos, LDAP, SOLR.
- 6 years of Java and Linux/Unix experience.
- 4 years of security scripting and automation experience.
- 2 years of R, Python, Flume, Storm, Kafka experience.
- 2 years of IBM BigSQL or similar MPP SQL engines experience.
- 2 years of MySQL experience.
- 1 year of CICD experience.
- Hadoop distribution administration and performance tuning expertise.
- Strong understanding of data lake concepts and big data capabilities.
- Good understanding of data virtualization, replication, and governance.
- AWS or cloud-based PaaS/SaaS environments experience.
- AWS EMR experience.
- Excellent communication skills.
- Mandatory skill: Dataiku.
About this role:
This is a challenging and rewarding position that requires a deep understanding of big data technologies and strong technical skills.
We offer a competitive salary, excellent benefits package, and opportunities for growth and development.
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