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Azure Data Engineer - SQL, Python, Pyspark, Azure, Fabric

  • Source: Naukri
  • KPI Partners
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

KPI Partners is seeking a skilled Azure Data Engineer to join our dynamic team. In this role, you will be responsible for designing and implementing data solutions that leverage Azure technologies. You will work collaboratively with data scientists, analysts, and other stakeholders to develop scalable data pipelines, ensuring the integrity and availability of data for analysis and decision-making.

Key Responsibilities:
- Design, build, and maintain data pipelines and ETL processes using Azure services.
- Utilize SQL, Python, and Pyspark for data processing and transformation tasks.
- Implement data storage solutions using Azure Fabric and ensure efficient data retrieval.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Optimize data workflows to enhance performance and scalability.
- Monitor and troubleshoot data pipeline issues, providing timely resolutions.
- Ensure data security and compliance with organizational standards.

Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer with a strong background in Azure technologies.
- Proficiency in SQL, Python, and Pyspark for data manipulation and analysis.
- Familiarity with Azure Fabric and cloud-based data solutions.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.

Preferred Skills:
- Experience with data modeling, data warehousing, and data visualization tools.
- Knowledge of machine learning frameworks and data analytics concepts.

Join KPI Partners and be a part of a forward-thinking company that values innovation and collaboration. If you have a passion for data engineering and Azure technologies, we encourage you to apply. We look forward to reviewing your application.

Skills

  • microsoft-azure
  • Python
  • pyspark

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