We are looking for a Senior Data Engineer with experience in working with and configuring components in Data Lake environments.
The candidate will be responsible for configuring components and preparing architecture for data access and CDP integration with third-party software.
Required:
- Minimum of 3 years of experience working on Data Lake platforms
- Familiarity with the Apache Hadoop environment, including practical experience with: Hive, HDFS, Spark, Ranger
- Knowledge of Apache Airflow and Jupyter, as well as practical Linux usage
- Programming skills in Java or Python, Spark or PySpark, and SQL
Tasks:
- Develop For Big Data BigInsights
- Develop For Big Data Streams
- Develop For Big Data Tools
- Apply Knowledge of Hybrid Cloud Technologies
- Develop Using Hbase
- Develop Using HIVE
- Develop Using PIG
- Develop Using C++
- Develop Using SQL
- Develop for Linux
- Develop Using Java
- Manage Garage Customer Relationships
- Design Cloudpak for Data Solutions
- Develop Using Cloudpak for Data
- Apply Garage Methodology
- Implement Garage Operating Model
- Apply Garage Product Management
- Deliver Garage Ceremonies
- Sell & Solution Garage Engagements
- Advise on Garage Innovation Lifecycle
- Implement Garage Lean UX & Lean Startup
- Perform opp & initiative assmnt for Garage
- Advise on Cloudpak for Data
Offer:
- B2B contract with Experis
- MultiSport Plus
- Group insurance
- Medicover Premium
- e-learning platform