Java Spark Engineer

Responsibilities: Architect and build scalable, fault-tolerant data pipelines using Apache Spark (Java) Lead design of batch and streaming ETL/ELT systems handling large data volumes Deep-dive performance tuning: partitioning strategy, memory management, shuffle/skew optimization, job cost reduction Set coding standards and lead code/design reviews across the team Drive technical decisions on data architecture, storage formats, and pipeline orchestration Mentor mid-level and junior engineers; ac

Immediate need for a talented Senior Java Developer(with some Spark/Big Data experience). This is a 12 months contractopportunity with long-term potential and is located in Jersey City, NJ(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-12045 Pay Range: $60 - $68 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsib

Role: Talend Developer Location: Alpharetta GA or Berkley Heights NJ (Onsite) Client: UST / Fiserv Primary skills: Databricks, Splunk, Talend, Spark Job Description Years of Experience Need 10+ Years of Expereince Advanced knowledge of Apache Spark to handle large-scale data processing tasks, including the development and optimization of complex Spark applications for efficient data transformation. Hands-on experience in building and optimizing data processing applications using Java and Pytho

OverviewWe are seeking an expert Kubernetes engineer to configure, deploy, and operate mission-critical Amazon EKS infrastructure supporting petabyte-scale data processing workloads. This role requires deep technical expertise in Kubernetes internals, large-scale cluster management, and Apache Spark optimization to support thousands of concurrent jobs processing large volumes of Bigdata.Core ResponsibilitiesApache Spark optimization to support thousands of concurrent jobs processing large volume