
Data Solutions Architect
1 day ago
- Develop and maintain scalable data architectures to support downstream analytics and AI applications.
- Collaborate with machine learning engineers to integrate data solutions into machine learning models and workflows.
- Work closely with clients to understand their data requirements and deliver tailored data solutions.
- Ensure data quality, integrity, and security across all projects.
- Optimize and manage cloud-based data storage solutions.
- Utilize Databricks for data processing and analytics tasks.
- Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
- Implement best practices for data engineering, including documentation, testing, and version control.
- Troubleshoot and resolve data-related issues in a timely manner.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL, Python, and other relevant programming languages.
- Hands-on experience with Databricks and its ecosystem.
- Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
- Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
- Comfortable working with various databases like PostgreSQL and MongoDB.
- Knowledge of data integration tools.
- Understanding of data modeling, data architecture, and database design.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Career Growth: Opportunities for career advancement and professional development.
- Challenging Projects: Work on innovative, cutting-edge projects that make a global impact.
- Global Exposure: Collaborate with international teams and clients to broaden your professional network.
- Flexible Work Arrangements: Support for work-life balance through flexible working conditions.
- Comprehensive Benefits: Competitive compensation packages and comprehensive benefits.
- Learning Opportunities: Great opportunity to upskill yourself and work on new technologies.
- Collaborative Environment: Emphasizes teamwork, innovation, and knowledge sharing.
- Inclusive Workplace: Values diversity and fosters an inclusive environment where all ideas are respected.
- Continuous Learning: Encourages professional development through ongoing learning opportunities and certifications.
- Core Values: Integrity, Excellence, Client-Centric Approach.
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