A seasoned data professional seeking a challenging role as Senior Data Architect

2 weeks ago

Kurnool, Andhra Pradesh, India beBeeDataArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Architect

Are you a highly skilled data expert looking for a challenging role?

  • Design, develop and maintain 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 (AWS, Azure, GCP).

Key Responsibilities:

  • 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.
  • Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.

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 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.

Highly Desirable 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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