Hadoop Big Data Developer

Job Summary

We are seeking an experienced Hadoop Big Data Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline
• Five or more years of professional experience designing and operating big-data pipelines on Hadoop
• Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments
• Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem
• Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink
• Strong SQL skills and experience working with both relational and NoSQL data stores
• Experience with workflow orchestration tools such as Airflow or Oozie
• Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance
• Strong scripting skills in Python or Shell
• Excellent troubleshooting, debugging, and documentation skills

Preferred Qualifications

• Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks
• Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi)
• Exposure to data governance tooling such as Apache Atlas or Collibra
• Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino)
• Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows