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Python Developer - Data Engineering
SMX Corporation • District of Columbia, US • On-site
Posted on: 21st March, 2025
Employment Type: FULLTIME
Job Description
About the Position
We are seeking a highly skilled Python Developer - Data Engineering to join our team at SMX Corporation. The ideal candidate will have expertise in designing and implementing robust data pipelines using Python and Apache Airflow.
The successful candidate will be responsible for collaborating with data analysts and other stakeholders to understand and meet their data requirements, developing and implementing data validation processes, and troubleshooting issues related to data pipelines.
Responsibilities
• Design, develop, and maintain ETL processes using Python and Apache Airflow.
• Collaborate with data analysts and other stakeholders to understand and meet their data requirements.
• Develop and implement data validation processes to ensure high data quality.
• Troubleshoot and resolve issues related to data pipelines.
• Optimize data extraction, transformation, and loading (ETL) processes to improve efficiency and performance.
Requirements
• Proficiency in Python and experience with Python libraries and frameworks like Pandas, NumPy, and Django.
• Expertise in Apache Airflow and experience in designing, building, and maintaining data pipelines using Apache Airflow.
• Strong understanding of SQL and NoSQL databases and proficiency in writing complex queries.
• Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure SQL Data Warehouse.
We are seeking a highly skilled Python Developer - Data Engineering to join our team at SMX Corporation. The ideal candidate will have expertise in designing and implementing robust data pipelines using Python and Apache Airflow.
The successful candidate will be responsible for collaborating with data analysts and other stakeholders to understand and meet their data requirements, developing and implementing data validation processes, and troubleshooting issues related to data pipelines.
Responsibilities
• Design, develop, and maintain ETL processes using Python and Apache Airflow.
• Collaborate with data analysts and other stakeholders to understand and meet their data requirements.
• Develop and implement data validation processes to ensure high data quality.
• Troubleshoot and resolve issues related to data pipelines.
• Optimize data extraction, transformation, and loading (ETL) processes to improve efficiency and performance.
Requirements
• Proficiency in Python and experience with Python libraries and frameworks like Pandas, NumPy, and Django.
• Expertise in Apache Airflow and experience in designing, building, and maintaining data pipelines using Apache Airflow.
• Strong understanding of SQL and NoSQL databases and proficiency in writing complex queries.
• Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure SQL Data Warehouse.
Responsibilities
- The successful candidate will be responsible for collaborating with data analysts and other stakeholders to understand and meet their data requirements, developing and implementing data validation processes, and troubleshooting issues related to data pipelines
- Design, develop, and maintain ETL processes using Python and Apache Airflow
- Collaborate with data analysts and other stakeholders to understand and meet their data requirements
- Develop and implement data validation processes to ensure high data quality
- Troubleshoot and resolve issues related to data pipelines
- Optimize data extraction, transformation, and loading (ETL) processes to improve efficiency and performance
Requirements
- The ideal candidate will have expertise in designing and implementing robust data pipelines using Python and Apache Airflow
- Proficiency in Python and experience with Python libraries and frameworks like Pandas, NumPy, and Django
- Expertise in Apache Airflow and experience in designing, building, and maintaining data pipelines using Apache Airflow
- Strong understanding of SQL and NoSQL databases and proficiency in writing complex queries
- Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure SQL Data Warehouse
SMX Corporation
Technology
Location
District of Columbia, US
Job Type
FULLTIME
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