
High-Level Data Specialist
2 weeks ago
As a Senior Data Architect, you will be responsible for designing and implementing large-scale data systems.
The ideal candidate will have strong technical skills in data warehousing and data modeling techniques.
- Selecting and integrating Big Data tools and frameworks to provide requested capabilities
- Developing and maintaining data pipelines that implement ETL processes, monitor performance, and advise infrastructure changes
- Translating complex technical requirements into detailed designs
- Investigating alternative solutions for data storing and processing to ensure streamlined approaches
You will serve as a mentor to junior staff by conducting technical training sessions and reviewing project outputs.
Required Skills and Qualifications
The following skills are required for this position:
- Data Warehousing and Modeling Techniques
- Distributed Computing Principles - Hadoop v2, MapReduce, HDFS
- Cloud Platforms (GCP) - Airflow, Cloud Composer, Data Fusion, Data Flow, Data Proc, Big Query
- Stream Processing Systems - Storm or Spark-Streaming
- Big Data Querying Tools - Pig, Hive, Impala
- ETL Techniques and Frameworks - Flume, Apache NiFi, DBT
- Messaging Systems - Kafka or RabbitMQ
- Lambda Architecture and its Advantages/Drawbacks
Benefits
This role offers the opportunity to work with cutting-edge technologies and collaborate with a team of experts in the field.
The ideal candidate will have experience working on large-scale projects and a strong understanding of cloud platforms.
We offer a dynamic and supportive work environment that encourages growth and development.
Others
Please note that the salary range is competitive and based on industry standards.
Applicants should have excellent communication and problem-solving skills.
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