FMRE- Data Engineer- Senior Associate

Role Overview

Key Responsibilities

• Data Engineering & Modeling :
• Lead the development, optimization, and maintenance of complex data pipelines to handle large-scale data integration and transformation.
• Apply advanced SQL and Python to design, build, and optimize data processing systems and workflows.
• Utilize strong data modeling skills to develop and implement efficient and scalable database structures.
• Ensure data quality, accuracy, and security throughout all stages of data processing.
• Cloud Data Solutions :
• Work extensively with cloud platforms (e.g., AWS, Azure, Google Cloud) to design and deploy scalable data solutions.
• Implement cloud-based data lakes, warehouses, and other data storage solutions in collaboration with data architects and cloud engineers.
• Automate and optimize cloud infrastructure to enhance performance and reduce costs.
• Machine Learning & AI Support :
• Support data scientists and machine learning engineers by preparing data for machine learning and AI models.
• Utilize basic knowledge of machine learning concepts to identify opportunities for predictive analytics and automation within data workflows.
• Data Visualization :
• Provide clean, structured data to business stakeholders for use in visualizations with Power BI, Tableau, QuickSight , and other tools.
• Collaborate with analysts and business users to deliver data that meets their reporting and analytics needs.
• Collaboration & Leadership :
• Mentor junior data engineers and provide technical leadership in designing data solutions.
• Work closely with cross-functional teams including data scientists, cloud architects, and business analysts to ensure data strategies align with business objectives.
• Troubleshoot, optimize, and resolve issues in existing data infrastructure and pipelines.

Required Skills and Experience

• 4+ years of experience in data engineering, with strong expertise in Python and SQL.
• Extensive experience with data modeling and designing scalable data solutions.
• Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native services.
• Basic understanding of machine learning and AI principles, with an ability to support related initiatives.
• Hands-on experience with data visualization tools such as Power BI, Tableau, or QuickSight .
• Strong problem-solving and analytical skills, with attention to detail and performance optimization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science , Data Science, Information Technology, or related fields.
• Demonstrated experience in building and optimizing data pipelines in cloud environments.
• Ability to lead technical discussions and mentor junior team members.
• Strong communication skills and experience collaborating with cross-functional teams.