Description
Key Skills: Tableau, PL/SQL, Python, Machine Learning, Data Engineering, Data Pipelines, Database Management, Data Visualization, Data Governance, Analytics
Good to Have Skills: Strong problem-solving abilities, experience in hybrid work environments, knowledge of industry standards and best practices for data governance and security, adaptability to evolving technologies, experience in creating technical documentation, proven track record of delivering high-quality data and ML solutions.
Roles & Responsibilities:
- Oversee the design and implementation of data pipelines and workflows to ensure seamless integration and processing of large datasets.
- Develop and maintain machine learning models to address complex business challenges and improve operational efficiency.
- Collaborate with stakeholders to understand requirements and translate them into technical solutions using Tableau PL/SQL and Python.
- Provide technical guidance and mentorship to team members fostering a culture of continuous learning and innovation.
- Monitor and optimize the performance of data systems and machine learning models to ensure reliability and scalability.
- Conduct thorough testing and validation of data and ML solutions to maintain accuracy and compliance with industry standards.
- Implement best practices for data governance security and privacy to safeguard sensitive information.
- Analyze data trends and patterns to generate actionable insights that drive strategic decision-making.
- Work closely with product and engineering teams to align data and ML solutions with business objectives.
- Create detailed documentation for all data and ML processes to ensure transparency and knowledge sharing.
- Stay updated with the latest advancements in data engineering and machine learning technologies to incorporate innovative solutions.
- Facilitate effective communication between technical teams and non-technical stakeholders to ensure project alignment.
Experience Required: Minimum of 12 years to maximum of 14 years of relevant experience in data and ML engineering with proven track record of delivering high-quality solutions