ClarksTech – We provide comprehensive next generation IT services and solutions. ClarksTech – Specialized in delivering cutting-edge technology solutions that help businesses improve efficiency

ClarksTech – We provide comprehensive next generation IT services and solutions. ClarksTech – Specialized in delivering cutting-edge technology solutions that help businesses improve efficiency

Java Big Data Engineer

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Java Big Data Engineer

Location: Whippany, NJ
Position Type: Contract / Full-Time (Hybrid)
Work Mode: 2-3 days onsite per week


What You’ll Do

  • Build, deploy, and maintain large-scale distributed data processing systems and pipelines to support enterprise data needs.

  • Design and lead end-to-end Big Data solutions: from ingestion, storage, processing to access; ensure scalability, reliability, and performance.

  • Develop batch and streaming workflows using Spark, Hadoop, Kafka, HBase, Hive, Impala, and NoSQL databases.

  • Monitor system health, analyze performance metrics, troubleshoot issues (including Cloudera/Hadoop logs), and effect cluster configuration and performance optimizations.

  • Use AutoSys for job scheduling and monitoring; ensure jobs run reliably, manage failures, and automate recovery where possible.

  • Enforce and implement data governance, data security, and data management best practices across the Big Data platform.


What You Bring

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • 8-10 years of software development/data engineering experience working with large-scale distributed systems.

  • Minimum 4 years leading Big Data solution designs and implementations in enterprise environments.

  • Strong programming skills in Java, J2EE, Scala.

  • Deep hands-on experience with Hadoop ecosystem: Spark, HDFS, YARN, Hive, Impala, Sqoop, HBase; Kafka; NoSQL DBs.

  • Solid experience with SQL, ElasticSearch, Oracle, and relational/non-relational data stores.

  • Proficient in using AutoSys (or similar) for job scheduling and monitoring.

  • Strong troubleshooting skills—performance tuning, logs analysis, cluster issues.

  • Knowledge of data governance and Hadoop/Cloudera security best practices.

  • Working experience with Linux, version control (Git), and CI/CD toolchains (Jenkins etc.).


Ideal Skills

  • Familiarity with cloud-based Big Data / data lake architectures (AWS, Azure, or GCP).

  • Experience with containerization / orchestration (Docker, Kubernetes) is a plus.

  • Ability to mentor & guide junior engineers.

  • Excellent communication skills, strong attention to detail, and ability to work cross-functionally.


Engagement Rules

  • Contract Position (W2 only) – No C2C, No Agencies.
  • This is a senior-level role requiring 8+ years of professional experience in data engineering and financial services.
  • Entry-level applicants will not be considered.
  • Candidates must have verifiable project experience in big data and Java development.
  • H1-B transfer available for the right candidate.
  • Multi-year contract with annual extensions.
  • Hybrid onsite role (Whippany, NJ).

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