Job Description:
We are seeking a Senior Data Analytics Engineer to join our team at Source Technology Part of SGI GmbH. The successful candidate will help us implement new data sets and migrate existing data sets to our on-premises data lake, which will eventually migrate to the cloud.
This role is open to candidates based in Switzerland, or those looking to relocate.
Key Responsibilities:
1. Design and develop end-to-end data pipelines with optimal extraction, transformation, and loading of data from various sources. This includes incorporating business rules, security measures, and data retention requirements.
2. Translate functional and technical requirements into detailed design specifications.
3. Contribute to overall data architecture and design, working closely with stakeholders.
4. Collaborate with business area sponsors, product owners, data architects, engineers, project managers, and analysts to address data-related technical issues and support their data needs.
5. Ensure effective system architectures through frequent deliveries, employing governance methods for transparency and communication.
6. Stay up-to-date with industry standards and technological advancements to improve output quality.
7. Interact with the business to identify, capture, and analyze business requirements.
Requirements:
1. At least 7 years of experience in modern data technologies as a Data Analytics Engineer or similar role.
2. Experience in building data ingestion pipelines for data warehouse and/or data lake architecture, including strong skills in data modeling, design patterns, and scalable applications.
3. Hands-on development using open-source data technologies such as Hadoop, Hive, Spark, HBase, Kafka, Impala, ELK, etc., preferably with Cloudera.
4. Experience working with relational databases like Oracle, SQL Server, etc.
5. Strong expertise in Python programming.
6. Proficiency in English language.
Position Details:
Mid-Senior level position available.
Contract employment type.
Information Technology job function.
Staffing and Recruiting industry.