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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.
Job Responsibility:
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 (Java is a must)
Must be able to lead Jira Epics
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 (GCP) 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
Requirements:
Bachelor'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
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 GCP
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
Proven experience in engineering batch processing systems at scale
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 GCP