Data Architecture Expert

17 hours ago

Bikaner, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Data Architecture Expert

 

We are seeking an experienced Data Architecture Expert to join our team. As a key member of our data engineering and AI practice, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes to support downstream analytics and AI applications.

 

About the Role:

  • Design and develop scalable data pipelines and ETL processes using industry-standard tools and technologies.
  • 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 (AWS, Azure, GCP).
  • 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.

 

Requirements:

  • 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 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.

 

Preferred Skills:

  • Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with machine learning concepts and frameworks.
  • Experience working in a client-facing role.

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