Data Engineer (Python, SQL, and Power BI)

As a Data Engineer specializing in Python, SQL, and Power BI, you will be responsible for designing, developing, and maintaining data pipelines and architectures. You will collaborate with data scientists and analysts to ensure the efficient flow and processing of data, enabling data-driven decision-making across the organization. This role is ideal for a DBA with development experience.

• Job timings: US (EST)
  

Key Responsibilities:

• Design and implement data pipelines using Python and SQL.
  
• Develop and optimize data extraction, transformation, and loading (ETL) processes.
  
• Ensure data quality and integrity by implementing data validation and monitoring mechanisms.
  
• Develop and maintain Power BI reports and dashboards.
  
• Collaborate with data scientists to understand data requirements and provide necessary support.
  
• Manage and maintain databases and data warehouses.
  
• Troubleshoot and resolve data-related issues.
  
• Stay updated with the latest developments in data engineering technologies and best practices.
  

• Minimum of 5 years of relevant experience required.
  
• Proven experience as a Data Engineer or in a similar role.
  
• Strong proficiency in Python, SQL, and Power BI.
  
• Experience with ETL tools and data pipeline frameworks.
  
• Knowledge of database management systems and data warehousing concepts.
  
• Strong problem-solving and analytical skills.
  
• Excellent communication and collaboration abilities.
  

• Competitive salary and benefits package.
  
• Opportunities for professional development and growth.
  
• Collaborative and innovative work environment.
  
• Chance to work on cutting-edge cloud projects.
  
• Supportive and inclusive company culture
  
• Medical insurance
  
• Company gadgets
  
• Paid time off