Senior Data Analytics Engineer Opportunity at Source Technology
We are seeking a highly skilled Senior Data Analytics Engineer to join our team and help us implement new data sets and migrate existing data sets to our on-premises data lake, which will eventually be migrated 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. Incorporate business rules, security, data retention requirements, etc.
2. Translate functional and technical requirements into detailed design.
3. Contribute to overall data architecture and design.
4. Collaborate with stakeholders including business area sponsors, product owners, data architects, data engineers, project managers, and business analysts to address data-related technical issues and support their data needs.
5. Ensure effective design and development of system architectures through frequent product deliveries, employing governance methods for transparency and communication.
6. Stay up-to-date with industry standards and technological advancements that improve output quality.
7. Interact with the business to identify, capture, and analyze business requirements.
Requirements:
1. At least 7 years of work 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, along with strong experience in data modeling, design patterns, and building 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 and SQL Server.
5. Strong expertise in Python programming.
6. Proficiency in English.
Job Details:
Mid-Senior level
Contract
Information Technology
Staffing and Recruiting