Senior Data Engineer

Posted 2024-11-07

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💎 Seniority level: Senior

📍 Location: Canada, UK, US

🔍 Industry: Smart home technology

🏢 Company: ecobee

🗣️ Languages: English

🪄 Skills: LeadershipPythonSQLApache AirflowETLGCPIoTKafkaMachine LearningAirflowApache KafkaData engineeringSparkCommunication SkillsCollaboration

Requirements:

Proficiency in building data pipelines using Python and SQL.
Experience with Apache Spark, Apache Kafka, and Apache Airflow.
Experience with cloud-based data platforms, preferably GCP.
Familiarity with SQL-based operational databases.
Good understanding of machine learning lifecycle.
Strong experience in data modeling and schema design.
Experience with both batch and real-time data processing.
Excellent communication skills for collaborative work.

Responsibilities:

Design, build, and maintain scalable and efficient ETL/ELT pipelines.
Implement data extraction and processing solutions for analytics and machine learning.
Integrate diverse data sources into centralized data repositories.
Develop and maintain data warehousing solutions.
Monitor and optimize data workflows for performance and reliability.
Implement monitoring and logging for data pipelines.
Collaborate with cross-functional teams to understand data requirements.
Translate business requirements into technical specifications.
Implement data quality checks and cleansing procedures.
Create and maintain documentation for data pipelines.
Share knowledge and best practices within the team.
Architect data pipelines for massive IoT data streams.

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Senior Data Engineer

Requirements:

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