Senior Data engineer with Bigdata SQL AND Hive
Apply NowCompany: Okaya Corp.
Location: Irving, TX 75061
Description:
Senior Data engineer with Bigdata SQL AND Hive
Tampa , FL/Irving,TX
W2 Long Term Contract
10 YRS
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.
Skills: Hadoop, HDFS, Hive, SQL, ETL, Python, Shell Scripting
Tampa , FL/Irving,TX
W2 Long Term Contract
10 YRS
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.
Skills: Hadoop, HDFS, Hive, SQL, ETL, Python, Shell Scripting