Data engineer
3 miesięcy temu
Detailed description of work task to be carried out
We are seeking a skilled and motivated Data Engineer with extensive experience in Hadoop and HDFS as well as with deep understanding of relational databases to our team. In this role you will be responsible for designing, building and maintaining our data infrastructure to ensure efficient, reliable and scalable data processing and storage solutions.
You will collaborate with cross-functional teams to acquire, transform and optimize data from various sources.
The ideal candidate will have a deep understanding of big data technologies, scalable data pipelines and ensuring data quality and integrity.
Key Responsibilities:
- design, develop and implement data solutions that acquire, transform and optimize data from diverse sources
- design and build a scalable and optimize data pipelines to enable for data ingestion, transformation, and storage
- ensure data quality and integrity by implementing data validation and cleansing processes
- contribute to the development of data models and data architecture
- collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- manage and maintain HDFS for distributed storage of large datasets
- perform data transformations and aggregations to support analytical and reporting requirements
- identify and resolve issues related to data processing and storage
Tasks this person could cover:
- Development related to provisioning data from Hadoop (either for historical FACP data provisioning or any other integration we’d like to do in the future using Hadoop as a source)
- Ownership of data structures on ODS – design, trouble-shooting, executing changes on lower-environments (currently not centralized, different teams are responsible for creating different structures, sometimes not taking data modelling principles into consideration)
- Data requirements and oversight on downstream integration with Hadoop and communication with GDM/Hadoop Ops
Description of knowledge and experience
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology or a related field. Master's degree preferred
- Proven experience as a Data Engineer with a strong focus on Hadoop and HDFS
- Proficiency in Hadoop ecosystem tools such as Hive, Pig, Flume, Oozie, and Sqoop
- Experience with data processing frameworks like Apache Spark
- Strong skills in relational databases with experience in SQL development
- Knowledge of data warehousing concepts and database technologies
- Excellent problem-solving skills and the ability to troubleshoot complex data issues
Req. number 36124
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