Data Engineer, 10+ years, W2 only, No OPT, CPT, H1b

Job Description

Role : Senior Data engineer with Bigdata SQL AND Hive

Location : Tampa , FL

Position : Long Term Contract(W2 Only)

Job Description :

Skills: Hadoop, HDFS, Hive, SQL, ETL, Python, Shell Scripting

• Design, develop, and deploy scalable Big Data applications using Hadoop ecosystem technologies (Hadoop, HDFS, Hive, etc.).

• Collaborate with data scientists and business analysts to understand requirements and translate them into technical solutions.

• Write efficient and optimized code to process and analyze large volumes of data.

• Implement data ingestion processes from various data sources to the Big Data platform.

• Create and maintain data pipelines and workflows for data processing and analytics.

• Perform data quality checks and ensure data integrity throughout the system.

• Troubleshoot and debug production issues to identify and resolve technical problems.

• Stay updated with the latest Big Data technologies and tools to drive innovation and improve performance.

• Collaborate with cross-functional teams to ensure seamless integration of Big Data applications with other systems.

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

• 4-6 years of experience in Big Data development using Hadoop ecosystem technologies (Hadoop, HDFS, Hive, etc.).

• Proficient in SQL for data querying and manipulation.

• Experience with data warehousing and relational databases.

• Hands-on experience with data integration and ETL processes.

• Strong understanding of distributed computing principles and frameworks.

• Experience with scripting languages such as Python or Shell scripting.

• Excellent problem-solving and analytical skills.

• Strong communication and interpersonal skills.

• Ability to work independently and in a team environment.

• Proactive attitude towards learning and professional development.