Sr Big Data Engineer - Oozie and Pig (Google Cloud Platform)

Sr Big Data Engineer - Oozie and Pig (Google Cloud Platform)

Public Cloud - Offerings and Delivery Cloud Data Services

Work Location: US-Remote, Canada-Remote - Full Time

About the Role

We are seeking a Senior Big Data Engineer with deep expertise in distributed systems, batch data processing, and large-scale data pipelines. The ideal candidate has strong hands-on experience with Oozie, Pig, the Apache Hadoop ecosystem, and programming proficiency in Java (preferred) or Python. This role requires a deep understanding of data structures and algorithms, along with a proven track record of writing production-grade code and building robust data workflows.

This is a fully remote position and requires an independent, self-driven engineer who thrives in complex technical environments and communicates effectively across teams.

Key Responsibilities:

• Design and develop scalable batch processing systems using technologies like Hadoop, Oozie, Pig, Hive, MapReduce, and HBase, with hands-on coding in Java or Python.
• Write clean, efficient, and production-ready code with a strong focus on data structures and algorithmic problem-solving applied to real-world data engineering tasks.
• Develop, manage, and optimize complex data workflows within the Apache Hadoop ecosystem, with a strong focus on Oozie orchestration and job scheduling.
• Leverage Google Cloud Platform (Google Cloud Platform) tools such as Dataproc, GCS, and Composer to build scalable and cloud-native big data solutions.
• Implement DevOps and automation best practices, including CI/CD pipelines, infrastructure as code (IaC), and performance tuning across distributed systems.
• Collaborate with cross-functional teams to ensure data pipeline reliability, code quality, and operational excellence in a remote-first environment.

Qualifications:

• Bachelors's degree in Computer Science, software engineering or related field of study.
• Experience with managed cloud services and understanding of cloud-based batch processing systems are critical.
• Proficiency in Oozie, Airflow, Map Reduce, Java.
• Strong programming skills with Java (specifically Spark), Python, Pig, and SQL.
• Expertise in public cloud services, particularly in Google Cloud Platform.
• Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce.
• Familiarity with BigTable and Redis.
• Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.
• Proven experience in engineering batch processing systems at scale.

Must Have: (Important)

• 5+ years of experience in customer-facing software/technology or consulting.
• 5+ years of experience with on-premises to cloud migrations or IT transformations.
• 5+ years of experience building, and operating solutions built on Google Cloud Platform
• Proficiency in Oozie and Pig
• Proficiency in Java or Python

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Sr Big Data Engineer - Oozie and Pig (Google Cloud Platform)

Public Cloud - Offerings and Delivery Cloud Data Services

Work Location: US-Remote, Canada-Remote - Full Time

About the Role

We are seeking a Senior Big Data Engineer with deep expertise in distributed systems, batch data processing, and large-scale data pipelines. The ideal candidate has strong hands-on experience with Oozie, Pig, the Apache Hadoop ecosystem, and programming proficiency in Java (preferred) or Python. This role requires a deep understanding of data structures and algorithms, along with a proven track record of writing production-grade code and building robust data workflows.

This is a fully remote position and requires an independent, self-driven engineer who thrives in complex technical environments and communicates effectively across teams.

Key Responsibilities:

• Design and develop scalable batch processing systems using technologies like Hadoop, Oozie, Pig, Hive, MapReduce, and HBase, with hands-on coding in Java or Python.
• Write clean, efficient, and production-ready code with a strong focus on data structures and algorithmic problem-solving applied to real-world data engineering tasks.
• Develop, manage, and optimize complex data workflows within the Apache Hadoop ecosystem, with a strong focus on Oozie orchestration and job scheduling.
• Leverage Google Cloud Platform (Google Cloud Platform) tools such as Dataproc, GCS, and Composer to build scalable and cloud-native big data solutions.
• Implement DevOps and automation best practices, including CI/CD pipelines, infrastructure as code (IaC), and performance tuning across distributed systems.
• Collaborate with cross-functional teams to ensure data pipeline reliability, code quality, and operational excellence in a remote-first environment.

Qualifications:

• Bachelors's degree in Computer Science, software engineering or related field of study.
• Experience with managed cloud services and understanding of cloud-based batch processing systems are critical.
• Proficiency in Oozie, Airflow, Map Reduce, Java.
• Strong programming skills with Java (specifically Spark), Python, Pig, and SQL.
• Expertise in public cloud services, particularly in Google Cloud Platform.
• Proficiency in the Apache Hadoop ecosystem with Oozie, Pig, Hive, Map Reduce.
• Familiarity with BigTable and Redis.
• Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.
• Proven experience in engineering batch processing systems at scale.

Must Have: (Important)

• 5+ years of experience in customer-facing software/technology or consulting.
• 5+ years of experience with on-premises to cloud migrations or IT transformations.
• 5+ years of experience building, and operating solutions built on Google Cloud Platform
• Proficiency in Oozie and Pig
• Proficiency in Java or Python

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.