MeeBoss
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis, focusing on designing and implementing data pipelines using Python and PySpark. Key skills include Databricks experience, data warehousing, and ETL processes. Strong problem-solving and communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Processing #Scala #Databricks #Spark (Apache Spark) #Python #Data Science #PySpark #Data Manipulation #Data Pipeline #Data Engineering #"ETL (Extract #Transform #Load)" #Data Integrity
Role description
Responsibilities:
• Design and implement end-to-end data pipelines using Python and PySpark to ensure efficient data processing.
• Utilize Databricks for data engineering tasks, optimizing performance and scalability.
• Troubleshoot and resolve pipeline issues in Databricks, ensuring minimal downtime and data integrity.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Monitor and maintain data pipeline performance, making improvements as necessary.
Qualifications:
• Proficiency in Python and PySpark for data manipulation and analysis.
• Experience with Databricks for building and managing data pipelines.
• Strong problem-solving skills, particularly in troubleshooting data pipeline issues.
• Familiarity with data warehousing concepts and ETL processes.
• Excellent communication skills for effective collaboration with cross-functional teams.
Responsibilities:
• Design and implement end-to-end data pipelines using Python and PySpark to ensure efficient data processing.
• Utilize Databricks for data engineering tasks, optimizing performance and scalability.
• Troubleshoot and resolve pipeline issues in Databricks, ensuring minimal downtime and data integrity.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Monitor and maintain data pipeline performance, making improvements as necessary.
Qualifications:
• Proficiency in Python and PySpark for data manipulation and analysis.
• Experience with Databricks for building and managing data pipelines.
• Strong problem-solving skills, particularly in troubleshooting data pipeline issues.
• Familiarity with data warehousing concepts and ETL processes.
• Excellent communication skills for effective collaboration with cross-functional teams.
