Data Engineer (Python, SQL, and Power BI)
Islamabad, Islamabad, Pakistan
Applications have closed
Cloudpso
Discover reliable software development and IT outsourcing solutions with CloudPSO. Propel your business growth with expert services and cutting-edge technology!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.
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
Requirements
- 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.
Benefits
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data pipelines Data quality Data Warehousing Engineering ETL Pipelines Power BI Python SQL
Perks/benefits: Career development Competitive pay
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