Role overview

Data Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

Responsibilities:

  • Designing and implementing robust data pipeline solutions within Azure Data Lake.
  • Integrating and transforming data from various sources to enable comprehensive analytics and reporting.
  • Ensuring data quality and integrity, implementing data governance practices.
  • Collaborating with cross-functional teams to understand data requirements and develop scalable solutions.
  • Monitoring and optimizing data processing workflows for performance and reliability.
  • Documenting processes and architecture to ensure maintainability and scalability.
  • Staying abreast of new Azure technologies and best practices for data engineering.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • A minimum of 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake.
  • Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
  • Demonstrated experience with data modeling, ETL processes, and data warehousing solutions.
  • Strong programming skills in Python, SQL, and familiar with Java or C#.
  • Excellent problem-solving skills and a detail-oriented approach to work.
  • Ability to communicate technical concepts clearly to non-technical stakeholders.
  • Strong organizational skills with the ability to manage multiple priorities and meet deadlines.

BenefitsPerks & benefits

  • Paid Time Off
  • Work From Home
  • Health Insurance
  • OPD
  • Training and Development
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackAzure, Java, PythonPrimary skills
Location1 accepted countryEligibility

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