Senior Data Engineer - Python/

Seeking a highly skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub), and experience with both streaming and batch workflows will be essential in ensuring the efficient flow and processing of data to support our clients.

Responsibilities:
Data Architecture and Design:

• Collaborate with cross-functional teams to understand data requirements and design robust data architecture solutions.
• Develop data models and schema designs to optimize data storage and retrieval.

ETL Development:

• Implement ETL processes to extract, transform, and load data from various sources.
• Ensure data quality, integrity, and consistency throughout the ETL pipeline.

Python and PySpark Development:

• Utilize your expertise in Python and PySpark to develop efficient data processing and analysis scripts.
• Optimize code for performance and scalability, keeping up-to-date with the latest industry best practices.

Data Integration:

• Integrate data from different systems and sources to provide a unified view for analytical purposes.
• Collaborate with data scientists and analysts to implement solutions that meet their data integration needs.

Streaming and Batch Workflows:

• Design and implement streaming workflows using PySpark Streaming or other relevant technologies.
• Develop batch processing workflows for large-scale data processing and analysis.

CI/CD Implementation:

• Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines using Jenkins or GitHub Actions.
• Automate testing, code deployment, and monitoring processes to ensure the reliability of data pipelines.

Qualifications:

• Bachelor's or master's degree in computer science, Information Technology, or a related field.
• 7+ years of proven experience as a Data Engineer or similar role.
• Strong programming skills in Python and expertise in PySpark for both batch and streaming data processing.
• Hands-on experience with ETL tools and processes.
• Familiarity with CI/CD tools such as Jenkins or GitHub Actions.
• Solid understanding of data modeling, database design, and data warehousing concepts.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Skills:

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with version control systems (e.g., Git).