Found Description
Responsibilities
- Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
- Build end-to-end data engineering projects, focusing on migration from legacy systems to cloud-based environments (Azure).
- Design and create scalable ETL pipelines, ensuring efficient data flow and transformation processes.
- Manage data integrations with Salesforce, leveraging event-driven architectures and cloud-based services.
- Collaborate with cross-functional teams and be comfortable on contact with clients, particularly based in the US.
- Accelerate the development processes and collaborate with Data Engineers and Data Analysts following Scrum Methodologies.
Qualifications
- Cloud Data Warehousing: Snowflake
- Programming Languages: Python, Scala, SQL
- Big Data Frameworks: Apache Spark, Databricks (including Delta Lake and Delt...