Lead Data Solutions Architect

5 days ago

Guntur, Andhra Pradesh, India beBeeDataExpert Full time ₹ 10,00,000 - ₹ 25,00,000

As a seasoned data professional, you will play a pivotal role in designing and optimizing data pipelines that deliver clean, secure, and accessible data for analytics and operations.

This position offers the opportunity to collaborate with talented teams, tackle real-world data challenges, and drive business decisions through data-driven insights.

The ideal candidate will possess a proven track record of creating client-ready dashboards using BI tools, experience in data modeling, ETL, and database management, as well as strong skills in Python for building data pipelines and automation.

You will be working closely with our clients on their Azure Cloud platform, leveraging your expertise in Azure Data Factory, Databricks, and data warehousing concepts to design and optimize scalable data pipelines and architectures.

Additionally, you will have the ability to work autonomously while being part of a dynamic team, tackling a wide range of challenges daily, across multiple customers, and continuously growing and expanding your expertise.

  • Proven experience in creating client-ready dashboards using Bold BI, Power BI, Superset, or similar BI tools.
  • Experience in data modeling, ETL, and database management with SQL Server, ClickHouse, and MongoDB.
  • Strong skills in Python for building data pipelines and automation.
  • Hands-on expertise with Azure Data Factory and Databricks for data integration and analytics.
  • Solid understanding of data warehousing concepts and experience working on Azure Cloud.
  • Ability to design and optimize scalable data pipelines and architectures.
  • Familiarity with Git for version control and teamwork.
  • Knowledge of APIs and REST APIs to connect with external data sources.
  • Strong ability to convert business needs into data-driven insights and visualizations.
  • Comfort with Linux commands, RegEx, and XML for data handling.
  • Strong problem-solving mindset with a passion for tackling data challenges.
  • Eagerness to learn, adapt, and work on new data tools and technologies.

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