FMRE- Data Engineer- Senior Associate

Role Overview: 
We are looking for a highly skilled Data Engineer - Senior Associate with strong expertise in Python, SQL, and Data Modeling. The ideal candidate will have hands-on experience with cloud platforms, and basic knowledge of machine learning and AI concepts. Additionally, familiarity with data visualization tools such as Power BI, Tableau, or QuickSight is essential. In this role, you will design and optimize data pipelines, work with cloud environments, and contribute to advanced analytics initiatives, driving business insights through robust data solutions. 

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.