
Big Data Expert
1 week ago
We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing and building end-to-end Big Data Pipelines using Apache Spark, Hive, Py-Spark, and HBase.
This is an excellent opportunity to work with various teams to implement and design walkthroughs. The ideal candidate will have expertise in setting up and managing continuous integration and continuous deployment pipelines in Bitbucket and Jenkins.
You should also be familiar with control-M scheduling tool and possess skills in monitoring tools and analyzing root cause using Spark Logs.
Key Responsibilities:
- Design and build end-to-end Big Data Pipelines using Apache Spark, Hive, Py-Spark, and HBase
- Collaborate with various teams to implement and design walkthroughs
- Set up and manage continuous integration and continuous deployment pipelines in Bitbucket and Jenkins
- Familiarity with control-M scheduling tool
- Skills in monitoring tools and analyzing root cause using Spark Logs
Required Skills:
- Apache Spark, MapReduce, Sqoop, Py-spark, Spark SQL
- Hive, MySQL, Oracle
- Python and HBase
- Expertise in setting up and managing continuous integration and continuous deployment pipelines in Bitbucket and Jenkins
- Familiarity with control-M scheduling tool
- Skills in monitoring tools and analyzing root cause using Spark Logs
Experience:
- 4+ years of experience in data engineering
- Proven experience in delivering projects successfully through effective planning, prioritizing, team building, task scheduling and tracking scheduled tasks
Industry:
- Banking (BFSI)
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