Java Hadoop

Location:
Phoenix, Arizona, United States

Job Description

Experience Required - 5+ Years

• In-depth knowledge of the Hadoop ecosystem, including HDFS, Map Reduce, Spark, Scala, Hive
• Expertise in Hive for data warehousing and querying large datasets.
• Strong experience with Apache Spark for distributed data processing and real-time analytics.
• Advanced proficiency in Scala programming for big data application development.
• Familiarity with data modeling, ETL processes, and data integration techniques.
• Experience with cloud platforms and big data tools (e.g., Google Big Query).
• Strong analytical and problem-solving skills to address complex data challenges.
• Basic knowledge on JAVA, Springboot
• Architect and design scalable big data solutions leveraging technologies like Hadoop, Hive, Spark, and Scala.
• Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.
• Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.
• Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather and define data requirements.
• Implement data security, governance, and compliance measures in big data environments.
• Diagnose and resolve technical issues in big data systems to maintain operational efficiency.

Interested candidates please share me your updated resume to

Salary Range - $100000 to $120000

• Discretionary Annual Incentive
• Comprehensive Medical Coverage (Medical and Health, Dental & Vision), Disability Planning & Insurance, Pet Insurance Plans
• Family Support (Maternal and Parental Leaves)
• Insurance Options (Auto and Home Insurance, Identity Theft Protection)
• Convenience and Professional Growth (Commuter Benefits and Certification and Training Reimbursement)
• Time Off (Vacation, Time Off, Sick Leave and Holidays)
• Legal and Financial Assistance (Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing)