Data Engineer - Zurich Asuransi Indonesia — Zurich Insurance (sede Ticino)
NewCHF 51'500 - 88'000
Zurich Insurance (sede Ticino) · Lugano (TI)
- Location
- Lugano
- Contract
- full-time
- Posted
- Yesterday
SalaryCHF 51'500 - 88'000
Role overview
Job Summary
- Job Summary
Company and context
- The data wranglers of the business world They transform raw data into a usable format for analysis, building the infrastructure that empowers data scientists and analysts to unlock valuable insights By identifying trends and developing strategies, they bridge the gap between data and actionable decisions, ultimately driving organizational efficiency and performance They transform raw data into a usable format for analysis, building the infrastructure that empowers data scientists and analysts to unlock valuable insights By identifying trends and developing strategies, they bridge the gap between data and actionable decisions, ultimately driving organizational efficiency and performanc Job Qualifications
- At least 5+ years’ experience with SparkSQL, Python and PySpark for data engineering workflow
- Strong proficiency in dimensional modeling and star schema design for analytical workloads
- Experience implementing automated testing and CI/CD pipelines for data workflows
- Familiarity with GitHub operations and collaborative development practices
- Demonstrated ability to optimize engineering workflow jobs for performance and cost efficiency
- Experience with cloud data services and infrastructure (AWS, Azure, or GCP)
- Proficiency with IDE tools such as Visual Studio Code for efficient development
- Experience with Databricks platform will be a plus Job Accountabilities Key Accountabilities
- Design and implement ETL/ELT pipelines using Spark SQL and Python within Databricks Medallion architecture
Additional details
- The data wranglers of the business world They transform raw data into a usable format for analysis, building the infrastructure that empowers data scientists and analysts to unlock valuable insights By identifying trends and developing strategies, they bridge the gap between data and actionable decisions, ultimately driving organizational efficiency and performance They transform raw data into a usable format for analysis, building the infrastructure that empowers data scientists and analysts to unlock valuable insights By identifying trends and developing strategies, they bridge the gap between data and actionable decisions, ultimately driving organizational efficiency and performanc Job Qualifications
- Experience with Databricks platform will be a plus Job Accountabilities Key Accountabilities
- Create and maintain technical documentation including ERDs, schema specifications, data lineage diagrams, and metadata repositories
- Join us as we constantly explore new ways to protect our customers and the planet . Remote working: Hybrid Schedule: Full Time Recruiter name: Ayu Candra Sekar Rurisa
Notes and original content
- The data wranglers of the business world They transform raw data into a usable format for analysis, building the infrastructure that empowers data scientists and analysts to unlock valuable insights By identifying trends and developing strategies, they bridge the gap between data and actionable decisions, ultimately driving organizational efficiency and performance They transform raw data into a usable format for analysis, building the infrastructure that empowers data scientists and analysts to unlock valuable insights By identifying trends and developing strategies, they bridge the gap between data and actionable decisions, ultimately driving organizational efficiency and performanc
- Job Qualifications
- Experience with Databricks platform will be a plus
- Job Accountabilities
- Key Accountabilities
- Why Zurich
- Join us as we constantly explore new ways to protect our customers and the planet .
- Location(s): ID
- Head Office
- MT Haryono
