BigData Engineer - W2 (H1B/OPT) Accepted

Job Description

BigData Engineer - W2 (H1B/OPT) Accepted

Location: Austin, TX (Remote)

Duration: Long Term

We are seeking a highly experienced Big Data Architect (Hadoop) to join our growing big data team. You will play a pivotal role in architecting, designing, and implementing robust and scalable big data solutions leveraging the Apache Hadoop ecosystem.

Responsibilities:

• Lead the design and implementation of enterprise-grade Hadoop architectures to meet evolving big data storage, processing, and analytics needs.
• Possess in-depth knowledge of core Hadoop components (HDFS, YARN, MapReduce, Hive, Pig, HBase) and their functionalities.
• Design and optimize data pipelines for efficient data ingestion, processing, and analysis.
• Develop and implement MapReduce jobs and Pig scripts for parallel data processing on large datasets.
• Manage and configure Hadoop clusters for optimal performance, scalability, and high availability.
• Integrate Hadoop with other big data tools and technologies (Spark, Kafka, etc.) to create a comprehensive data ecosystem (Preferred).
• Implement security best practices to ensure data privacy and access control within the Hadoop environment.
• Monitor and maintain the health of the Hadoop ecosystem, proactively identifying and resolving issues.
• Stay up-to-date with the latest advancements in big data technologies and best practices.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and translate them into technical solutions.
• Document technical designs, architecture decisions, and deployment procedures for future reference.
• Mentor and guide junior Hadoop developers within the team (Preferred).

Qualifications:

• 6+ years of demonstrably successful experience as a Hadoop Developer, Big Data Architect, or a related role.
• Proven track record of designing and implementing scalable big data architectures using the Apache Hadoop ecosystem.
• In-depth knowledge of Hadoop components (HDFS, YARN, MapReduce, Hive, Pig, HBase) and their configurations.
• Proficiency in programming languages like Java or Scala for developing Hadoop applications.
• Experience with scripting languages like Pig for high-level data manipulation (Preferred).
• Experience with SQL for data querying and analysis (Preferred).
• Familiarity with Linux operating systems for working with Hadoop clusters.
• Experience with cloud platforms (AWS, Azure, GCP) for deploying Hadoop clusters (a plus).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication, collaboration, and leadership skills.

We look forward to hearing from you!

Regards,

Xcelo Group