Senior Data Architecture Specialist

3 days ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 15,40,000 - ₹ 25,40,000
Job Opportunity

Our organization is seeking a highly skilled Data Architect to lead the design, development, and maintenance of scalable data pipelines and ETL processes. This role requires collaboration with Machine Learning Engineers to integrate data solutions into machine learning models and workflows.

The ideal candidate will possess strong technical skills in SQL, Python, and other relevant programming languages, as well as hands-on experience with Databricks and its ecosystem. Familiarity with major cloud environments (AWS, Azure, GCP) and their data services is also required.

Responsibilities:
  • Design and develop scalable data pipelines and ETL processes to support downstream analytics and AI applications.
  • Collaborate with ML 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 data storage solutions in cloud environments.
  • Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
  • 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.
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 a variety of SQL, NoSQL and graph databases.
  • 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.
Highly Desirable Skills:
  • Experience with real-time data processing frameworks.
  • Knowledge of data visualization tools.
  • Familiarity with machine learning concepts and frameworks.
  • Experience working in a client-facing role.

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