eHub Global Inc · 1 day ago
Data Engineer
NYC Metro Area
Contract
Onsite
Senior Level, Lead/Staff
12+ years expeHub Global Inc is seeking a highly skilled Data Engineer with deep expertise in Big Data technologies, data lakes, and modern analytics platforms. The ideal candidate will design, build, and optimize scalable data pipelines that support advanced analytics and business intelligence.
EmploymentStaffing AgencyTraining
Hiring Manager
Divyansh Chaudhary
Responsibilities
Design, develop, and maintain data pipelines for ingesting, transforming, and delivering large-scale datasets
Manage and optimize data lake architectures to ensure scalability, reliability, and performance
Implement and support Hadoop-based solutions for distributed data processing
Integrate and manage Snowflake for cloud-based data warehousing and analytics
Build and maintain real-time streaming solutions using Kafka
Develop and optimize Spark applications for batch and streaming workloads
Collaborate with data analysts, scientists, and business stakeholders to deliver actionable insights
Ensure data quality, governance, and security across all platforms
Monitor and troubleshoot data pipelines to maintain high availability and performance
Qualification
Required
Deep expertise in Big Data technologies, data lakes, and modern analytics platforms
Strong hands-on experience with Hadoop ecosystems, Snowflake, Kafka, Spark, and other distributed data platforms
Design, develop, and maintain data pipelines for ingesting, transforming, and delivering large-scale datasets
Manage and optimize data lake architectures to ensure scalability, reliability, and performance
Implement and support Hadoop-based solutions for distributed data processing
Integrate and manage Snowflake for cloud-based data warehousing and analytics
Build and maintain real-time streaming solutions using Kafka
Develop and optimize Spark applications for batch and streaming workloads
Collaborate with data analysts, scientists, and business stakeholders to deliver actionable insights
Ensure data quality, governance, and security across all platforms
Monitor and troubleshoot data pipelines to maintain high availability and performance
Big Data Ecosystem: Hadoop (HDFS, Hive, Pig, MapReduce), Spark, Kafka
Cloud Data Warehousing: Snowflake (preferred), Redshift, BigQuery
Data Lake Management: Experience with large-scale data storage and retrieval
Data Pipelines: ETL/ELT design, orchestration tools (Airflow, NiFi, etc.)
Programming & Scripting: Python, Scala, Java, SQL
Data Analysis: Strong ability to query, analyze, and interpret large datasets
Distributed Systems: Understanding of scalability, fault tolerance, and performance optimization
DevOps & Automation: CI/CD pipelines, containerization (Docker, Kubernetes)
Visualization & BI Tools: Familiarity with Tableau, Power BI, or similar
Preferred
12+ years of experience in data engineering or big data roles
Experience with cloud platforms (AWS, Azure, GCP)
Strong problem-solving and analytical mindset
Excellent communication and collaboration skills
Company
eHub Global Inc
Custom Workforce & HR solutions Services.
51-200 employees
Funding
Current Stage
Growth StageRecent News
Thailand Business News
2025-07-01
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