Data Engineer

**Role Overview:** You will be responsible for integrating data from various siloed systems into CDF using interfaces, extractors, and SDKs. Additionally, you will use ETL tools like Azure Data Factory or Informatica PowerCenter for data integration. **Key Responsibilities:** - Utilize ETL tools such as Azure Data Factory or Informatica PowerCenter for data integration - Integrate data from different systems into CDF using interfaces, extractors, and SDKs - Program in languages like Python, especially for using the Cognite Python SDK - Work with REST APIs for data extraction and integration - Manage databases such as PostgreSQL and utilize database gateways - Extract data from cloud storage solutions - Transform and contextualize data within CDF - Analyze and visualize data using tools like Apache Spark and Databricks - Understand industrial data and processes for contextualizing data in CDF - Manage projects and coordinate with different teams for successful data integration - Communicate effectively with cross-functional teams and stakeholders **Qualifications Required:** - Experience with ETL tools like Azure Data Factory or Informatica PowerCenter - Proficiency in programming languages like Python - Familiarity with REST APIs - Knowledge of databases such as PostgreSQL - Understanding of cloud storage solutions - Skills in data transformation and contextualization - Familiarity with tools like Apache Spark and Databricks - Understanding of industrial data and processes - Strong project management skills - Excellent communication and collaboration abilities **Role Overview:** You will be responsible for integrating data from various siloed systems into CDF using interfaces, extractors, and SDKs. Additionally, you will use ETL tools like Azure Data Factory or Informatica PowerCenter for data integration. **Key Responsibilities:** - Utilize ETL tools such as Azure Data Factory or Informatica PowerCenter for data integration - Integrate data from different systems into CDF using interfaces, extractors, and SDKs - Program in languages like Python, especially for using the Cognite Python SDK - Work with REST APIs for data extraction and integration - Manage databases such as PostgreSQL and utilize database gateways - Extract data from cloud storage solutions - Transform and contextualize data within CDF - Analyze and visualize data using tools like Apache Spark and Databricks - Understand industrial data and processes for contextualizing data in CDF - Manage projects and coordinate with different teams for successful data integration - Communicate effectively with cross-functional teams and stakeholders **Qualifications Required:** - Experience with ETL tools like Azure Data Factory or Informatica PowerCenter - Proficiency in programming languages like Python - Familiarity with REST APIs - Knowledge of databases such as PostgreSQL - Understanding of cloud storage solutions - Skills in data transformation and contextualization - Familiarity with tools like Apache Spark and Databricks - Understanding of industrial data and processes - Strong project management skills - Excellent communication and collaboration abilities