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Description:
We are seeking a highly skilled GCP Python Developer with 5-7 years of experience in Python programming and data engineering.
The ideal candidate should have a deep understanding of production-level coding techniques, including testing, object-oriented programming (OOP), and code optimization.
The role requires strong expertise with big data technologies, such as Spark, PySpark, Hadoop, HIVE, BigQuery, and Pub/Sub, to build scalable ETL pipelines.
This is an exciting opportunity for an individual with a passion for cloud-native solutions, data visualization, and a drive to solve complex technical challenges.
Responsibilities include utilizing advanced data engineering skills to build efficient ETL pipelines, focusing on cloud-native solutions, leveraging data visualization techniques, debugging and troubleshooting complex technical problems, continuously learning new technologies, and collaborating with cross-functional teams.
Requirements:
Proficiency in Python programming, with a strong emphasis on data engineering is required.
Extensive experience with big data technologies such as Spark, PySpark, Hadoop, HIVE, BigQuery, and Pub/Sub is necessary.
Expertise in SQL, data modeling, and query optimization for large-scale data processing is essential.
Experience in data visualization and dashboarding tools is required.
Strong debugging and problem-solving skills to resolve complex technical issues are necessary.
The ability to work independently, learn new technologies, and prototype innovative solutions is required.
Benefits:
The position offers the flexibility of a remote work environment.
Opportunities for continuous learning and professional development in advanced data engineering and cloud technologies are provided.
The role allows for collaboration with cross-functional teams, enhancing teamwork and communication skills.
The position provides the chance to work on innovative projects that solve complex technical challenges.