Python PySpark ETL Developer - REMOTE

at  NTT Data

Req ID: 294353
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Python PySpark ETL Developer - REMOTE to join our team in Dallas, Texas (US-TX), United States (US).

MINIMUM REQUIREMENTS:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in Python development with PySpark experience preferred.
• 5+ years experience with data integration and ETL processes.

DESIRED SKILLS:

• Knowledge of data processing and analytics techniques.
• Experience with distributed computing frameworks like PySpark and Apache Spark.
• Experience with data integration and ETL processes.
• Familiarity with data storage and querying systems like SQL and NoSQL databases.
• Understanding of data structures, algorithms, and distributed systems.
• 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: Python, PySpark, Apache Spark, SQL, NoSQL
  Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $73,332 - 152,776. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

• Design, develop, and deploy scalable data processing applications using Python and PySpark.
• Collaborate with data scientists and 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 data processing 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 technologies and tools in data processing to drive innovation and improve performance.
• Collaborate with cross-functional teams to ensure seamless integration of data processing applications with other systems.