Data Engineer (Python, MongoDB, PowerBI and Data Extraction, ability to write code)

Responsibilities

• Data Extraction and Transformation: Write efficient and scalable Python code to extract and transform data from various sources, ensuring it meets the requirements for downstream systems.
• MongoDB Management: Utilize MongoDB for storing and managing data. Design and optimize data models and queries to ensure high performance and reliability.
• Power BI Integration: Collaborate with stakeholders to deliver data in a format suitable for reporting and visualization in Power BI. Ensure that the data aligns with business needs and reporting requirements.
• Data Feed Development: Develop and maintain data feeds for downstream systems, including Ledger and Boudreaux, ensuring timely and accurate data delivery.
• Collaboration with Stakeholders: Work closely with business analysts and other stakeholders to understand data definitions and requirements, translating them into technical specifications.
• Documentation: Maintain comprehensive documentation of data pipelines, data models, and technical specifications to support knowledge sharing and compliance.
• Quality Assurance: Implement data validation and quality checks to ensure the accuracy and integrity of the data being delivered.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Minimum of 10 years of experience in data engineering or a related field.
• Strong experience in Python programming, particularly in data manipulation and ETL processes.
• Solid knowledge of MongoDB and experience in database design and management.
• Familiarity with Power BI for creating reports and dashboards.
• Experience in building data extracts and feeds for business applications.
• Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering high-quality data solutions.
• Communication: Excellent verbal and written communication skills, with the ability to clearly convey technical concepts to both technical and non-technical stakeholders.
• Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment.