Data Analytics Engineer
As the premier supplier to our international banking client in Basel, Swisslinx are looking for an open minded and team oriented Data Engineer with strong experience in Hadoop/Cloudera technology to support an transformation program to leverage new data technologies that is in initiation phase.
This is an initial contract running for 12+ months with strong likelihood to extend on a long term basis (up to max five years) based on the project road maps, with start date by October.
We are looking for a data engineer to join a small business facing team to unlock new capabilities such as real-time streaming and advanced analytics. You would help in implementing new data sets and migrating existing data sets to our on-premises data lake which will eventually migrate to the cloud.
This role is pivotal to implement, maintain and support data pipelines using shared data platforms exploiting modern data technologies and software development practices.
Apart from technologies, this role requires continuous collaboration; not just among the team but also outward with expert business analysts, technologists, project managers, data scientists and statisticians â?? and sometimes counterparts in other international organisations and central banks.
Responsibilities includes:
â?¢ Provide implementation support on variety of data management and analytics projects using the Bankâ??s approved databases (big data as well as relational databases) and analytical technologies
â?¢ Responsible for development and following best practices for big data environment
â?¢ Develop required code for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and â??big dataâ?? technologies.
â?¢ Translate, load and present disparate datasets in multiple formats/sources including JSON
â?¢ Translate functional and technical requirements into detail design
â?¢ Participate and contribute in overall data architecture and the design of Big Data & Advance Analytics solutions
â?¢ Designing, developing, constructing, installing, testing and maintaining highly scalable, robust and fault-tolerant data management & processing systems by integrating a variety of programming languages & tools together
In order to be considered for this role, you will possess as many of the following skills as possible:
â?¢ Experience in building data ingestion pipelines for data warehouse and/or data lake architecture
â?¢ Hands-on development in using open-source data technologies such as Hadoop, Hive, Spark, HBase, Kafka, Impala, ELK etc. preferably with Cloudera
â?¢ Strong experience in data modelling, design patterns and building highly scalable applications
â?¢ Experience with at least one major programming language: C#, Python, Java, etc.
â?¢ Experience with relational SQL and NoSQL databases: SQL Server, Sybase IQ, Postgres, Cassandra, etc.
â?¢ Experience with relational SQL and NoSQL databases: SQL Server, Sybase IQ, Postgres, Cassandra, etc.
â?¢ Experience with CICD pipelines and agile methodologies like Scrum, Kanban
â?¢ Experience in Automated Testing, Test-driven Development, debugging, troubleshooting, and optimizing code
â?¢ Fluency in English
The following are nice to have but not mandatory:
â?¢ Experience with data pipeline and workflow management tools: Airflow, RunDeck, Nifi etc
â?¢ Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
â?¢ Knowledge of micro-services architecture and experience in API creation and management technologies (REST, SOAP etc)
â?¢ Experience supporting and working with cross-functional teams in a dynamic environment.
Please note interviews would be conducted via video call (max two rounds), however the role is based 100% in Switzerland. Our client offers:
â?¢ The opportunity to work in a diverse and international environment on a long-term basis
â?¢ 50% working from home
â?¢ 20 days working remotely from abroad per year
â?¢ Modern office in central Basel (50 minutes direct train from Zurich) with subsidised canteen
Are you interested to work in an international environment in one of the most important financial companies worldwide? Then apply now! We look forward to receiving your full application before the deadline on Friday 5 July.
This is an initial contract running for 12+ months with strong likelihood to extend on a long term basis (up to max five years) based on the project road maps, with start date by October.
We are looking for a data engineer to join a small business facing team to unlock new capabilities such as real-time streaming and advanced analytics. You would help in implementing new data sets and migrating existing data sets to our on-premises data lake which will eventually migrate to the cloud.
This role is pivotal to implement, maintain and support data pipelines using shared data platforms exploiting modern data technologies and software development practices.
Apart from technologies, this role requires continuous collaboration; not just among the team but also outward with expert business analysts, technologists, project managers, data scientists and statisticians â?? and sometimes counterparts in other international organisations and central banks.
Responsibilities includes:
â?¢ Provide implementation support on variety of data management and analytics projects using the Bankâ??s approved databases (big data as well as relational databases) and analytical technologies
â?¢ Responsible for development and following best practices for big data environment
â?¢ Develop required code for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and â??big dataâ?? technologies.
â?¢ Translate, load and present disparate datasets in multiple formats/sources including JSON
â?¢ Translate functional and technical requirements into detail design
â?¢ Participate and contribute in overall data architecture and the design of Big Data & Advance Analytics solutions
â?¢ Designing, developing, constructing, installing, testing and maintaining highly scalable, robust and fault-tolerant data management & processing systems by integrating a variety of programming languages & tools together
In order to be considered for this role, you will possess as many of the following skills as possible:
â?¢ Experience in building data ingestion pipelines for data warehouse and/or data lake architecture
â?¢ Hands-on development in using open-source data technologies such as Hadoop, Hive, Spark, HBase, Kafka, Impala, ELK etc. preferably with Cloudera
â?¢ Strong experience in data modelling, design patterns and building highly scalable applications
â?¢ Experience with at least one major programming language: C#, Python, Java, etc.
â?¢ Experience with relational SQL and NoSQL databases: SQL Server, Sybase IQ, Postgres, Cassandra, etc.
â?¢ Experience with relational SQL and NoSQL databases: SQL Server, Sybase IQ, Postgres, Cassandra, etc.
â?¢ Experience with CICD pipelines and agile methodologies like Scrum, Kanban
â?¢ Experience in Automated Testing, Test-driven Development, debugging, troubleshooting, and optimizing code
â?¢ Fluency in English
The following are nice to have but not mandatory:
â?¢ Experience with data pipeline and workflow management tools: Airflow, RunDeck, Nifi etc
â?¢ Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
â?¢ Knowledge of micro-services architecture and experience in API creation and management technologies (REST, SOAP etc)
â?¢ Experience supporting and working with cross-functional teams in a dynamic environment.
Please note interviews would be conducted via video call (max two rounds), however the role is based 100% in Switzerland. Our client offers:
â?¢ The opportunity to work in a diverse and international environment on a long-term basis
â?¢ 50% working from home
â?¢ 20 days working remotely from abroad per year
â?¢ Modern office in central Basel (50 minutes direct train from Zurich) with subsidised canteen
Are you interested to work in an international environment in one of the most important financial companies worldwide? Then apply now! We look forward to receiving your full application before the deadline on Friday 5 July.
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