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).