Data Solutions Architect

1 day ago


Jamnagar, Gujarat, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Description

  • 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.
Required Skills and Qualifications
  • 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.
Benefits
  • 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.
Others
  • 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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