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Python Developer (GCP)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Mexico

Offer summary

Qualifications:

5-7 years of Python programming experience, Deep understanding of production-level coding techniques, Expertise with big data technologies including Spark and Hadoop, Proficient in SQL, data modeling, and query optimization, Experience in data visualization tools.

Key responsabilities:

Build efficient ETL pipelines using advanced data engineering skills
Focus on cloud-native solutions in GCP or Azure
Communicate data insights effectively to stakeholders
Debug and implement solutions for technical problems
Continuously learn new technologies and propose new approaches

NTD Software Startup https://ntdsoftware.com/

11 - 50 Employees

See more NTD Software offers

Job 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:

Utilize advanced data engineering skills, including expert-level SQL, data modeling, and query optimization, to build efficient ETL pipelines.

Focus on cloud-native solutions with hands-on experience, preferably in Google Cloud Platform (GCP) or Azure environments.

Leverage data visualization and dashboarding techniques to effectively communicate complex data insights to stakeholders.

Debug, troubleshoot, and implement solutions for complex technical problems, ensuring high performance and scalability.

Continuously learn new technologies, prototype solutions, and propose innovative approaches to optimize data engineering processes.

Collaborate with cross-functional teams to integrate data solutions across platforms and services.

Requirements:

Proficiency in Python programming, with a strong emphasis on data engineering.

Extensive experience with big data technologies: Spark, PySpark, Hadoop, HIVE, BigQuery, and Pub/Sub.

Expertise in SQL, data modeling, and query optimization for large-scale data processing.

Experience in data visualization and dashboarding tools.