Hiring: Hadoop Big Data Developer Company: Bright Vision Technologies Location: Farmington, CT Job Posted Time: 2026-09-15 19:56:56 Employment Type: Full-time, Direct W2 Target Skills & Keywords: Hadoop, Apache Spark, Scala, Python, Java, Hive, HDFS, Sqoop, HBase, Kafka, Spark Streaming, Flink, SQL, NoSQL, Airflow, Oozie, Distributed Systems, Shell Scripting, AWS EMR, Azure HDInsight, Databricks, Delta, Iceberg, Hudi, Apache Atlas, Collibra, Kubernetes, Spark-on-K8s, Trino, CI/CD, Infrastructure-as-Code Experience: - 10+ years of overall experience required - 5+ years of professional experience designing and operating big-data pipelines on Hadoop Required Skills: - 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 Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical discipline - Proven ability to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems - Experience ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads - Strong software engineering fundamentals with a clear understanding of delivering reliable, performant, and cost-effective data platforms in production environments - Preferred: Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks - Preferred: Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi) - Preferred: Exposure to data governance tooling such as Apache Atlas or Collibra - Preferred: Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino) - Preferred: Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows - Work Authorization: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. New H-1B visa petitions cannot be sponsored for this position. Compensation: $100,000–$150,000 Annually Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!