Beschreibung
Source Group are working with a Banking Customer in Switzerland who are looking to hire a Freelance Data Engineer to start a project in Jan / Feb 2022. The project is Greenfield and is expected to last multiple years.We are looking for a Professional Data Engineer able to build data pipelines and to run data modelling in building strategic platforms with a great sense of independency and proactivity in data engineering technology. We are looking for an intermediate Data Engineer (5+ years of experience in data analytics & data modelling, ideal working with ERP financial platforms)
Responsibilities:
- Provide implementation support on a variety of data management and analytics projects using the Bank's approved databases (big data as well as relational databases) and analytical technologies
- Develop optimal data models for data storage as well as end-to-end data pipelines for optimal extraction, transformation and loading of data from/to a wide variety of RDBMS or NoSQL data stores
- Translate functional and technical requirements into detailed designs, as well as derive use cases where appropriate
- Participate and contribute to the overall data architecture and design of the Big Data & Advanced Analytics solutions and propose ways to improve data quality, reliability & efficiency
Qualifications:
- 5+ year of work experience in the Big data technology space
- Extensive experience working with RDBMS (SQL server, Postgres, etc), designing physical models, authoring SQL queries and procedural extensions, and carrying out performance tuning
- Experience with flow-based programming and data pipeline/ETL tools such as Apache NiFi. Experience in workflow management and automation tools such as Airflow or RunDeck would be an advantage.
- Hands-on development using open-source big data technologies such as Hadoop, Hive, Spark, or Impala. Experience using related NoSQL technologies such as HBase, Solr or ELK would be an advantage.
- Strong, in-depth experience in data modelling and experience with business intelligence systems (dimensional modelling, data vault, data mining, predictive analytics).