Data Engineer (Python / PySpark / AWS)

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.
• 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).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of data security and privacy best practices.
• Applicants for employment in the U.S. must possess work authorization which does not require sponsorship by the employer for a visa. Infinitive is an Equal Opportunity Employer.
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