Highly Skilled Data Engineer Wanted

7 days ago

Lucknow, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 30,00,000 - ₹ 50,00,000
Job Title: Azure Data EngineerWe are seeking a highly skilled data engineer to drive our clients' success by designing, building, and maintaining large-scale data processing systems.The ideal candidate will have expertise in cloud-based data engineering, including Azure services such as Azure Databricks, Azure Synapse Analytics, and Azure Storage. Strong programming skills in languages like Python and Scala are also essential.Additionally, experience with data warehousing, ETL processes, and data governance is necessary for this role. A certification in data engineering or a related field is a plus.Responsibilities:
  • Design and develop scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Stream Analytics.
  • Develop and maintain complex data models, ensuring data consistency and integrity.
  • Collaborate with cross-functional teams to integrate data into business applications.
  • Monitor and optimize system performance, troubleshooting issues as needed.
  • Stay up-to-date with industry trends and emerging technologies, applying new knowledge to improve data engineering processes.
Benefits:
  • Opportunity to work on high-profile projects, driving business growth and innovation.
  • Collaborative team environment with experienced professionals.
  • Professional development opportunities, including training and certification programs.
  • Competitive salary and benefits package.
Required Skills and Qualifications:
  • Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering, with expertise in cloud-based data engineering.
  • Strong programming skills in Python, Scala, or other relevant languages.
  • Experience with Azure services, including Azure Databricks, Azure Synapse Analytics, and Azure Storage.
  • Data warehousing and ETL process experience.
  • Strong understanding of data governance principles.
  • Certification in data engineering or a related field (a plus).
Key Responsibilities:
  • Work collaboratively with cross-functional teams to design, build, and deploy data engineering solutions.
  • Maintain and enhance existing data engineering systems, ensuring scalability and reliability.
  • Develop and implement data governance policies and procedures.

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