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Responsibilities:
• Design, develop, and implement scalable and robust data lake solutions on the Azure platform.
• Collaborate with cross-functional teams to gather requirements and design data lake

architectures that meet business objectives.
• Develop and maintain ETL processes to ingest, transform, and load data from various sources

into the data lake.
• Optimize data lake performance and troubleshoot issues as they arise.
• Implement data governance and security best practices to ensure data integrity and compliance

with regulatory requirements.
• Develop and maintain documentation, including data dictionaries, data flow diagrams, and

technical specifications.
• Stay current with industry trends and emerging technologies in data lake management and

analytics.

Requirements:
• 4+ years of hands-on experience with Azure Data Lake technologies, including Azure Data Lake

Storage, Azure Data Factory, Azure Synapse and Azure Data Lake Analytics.
• Strong in SQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team

environment.
• Fluent in English.

Nice to have:
• Strong understanding of data modelling concepts and experience with data warehousing

techniques.
• Proficiency in programming languages such as Python, or Scala.
• Experience working with big data technologies such as Hadoop, Spark, or Data bricks is a plus.
• Bachelor’s degree in computer science, Engineering, or a related field.