UNIFY Dots
Azure Data Engineer
Job Description
Company Description
UNIFY Dots is a global technology and software solutions company and Microsoft Solutions partner specializing Dynamics 365 and Microsoft Big Data cloud-based solutions. We are seeking an experienced Azure Data Engineer to join our dynamic team. This role is ideal for someone who has a strong foundation in data processing technologies and methodologies, including experience with Databricks, ETL processes, data warehousing, and analytics platforms. As a Data Engineer, you will play a crucial role in the development and maintenance of our data infrastructure, ensuring the reliability and accessibility of data for decision-making and operational efficiency.
Job Description
- Design, construct, install, test, and maintain highly scalable data management systems.
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Implement complex data warehousing projects with a focus on collecting, parsing, managing, analyzing, and visualizing large datasets to turn information into insights using Power BI.
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Ensure systems meet business requirements and industry practices by integrating new data management technologies and software engineering tools into existing structures.
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Create robust data pipelines using ETL processes that follow best practices in data modeling, ingestion, modeling, data cleansing, data enrichment, and transformation.
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Utilize Azure cloud services effectively to deploy and maintain scalable data infrastructure.
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Collaborate with data Analysts, data scientists and architects on several projects, ensuring optimal data delivery architecture is consistent throughout ongoing projects.
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Engage with stakeholders and team members to assist with data-related technical issues and support their data infrastructure needs.
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Develop high-performance algorithms, predictive models, and prototypes using Python and PySpark.
Qualifications
- Bachelor’s or master’s degree in computer science, Engineering or Information Technology.
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3-5 years of experience in a Data Engineer role, with a deep understanding of data structures, data modelling, and software architecture.
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Proficient in using Azure Databricks for developing scalable data processing pipelines.
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Extensive experience with Azure, including Azure Data Factory, Azure Data Lake, Azure Synapse, Fabric and other services.
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Expertise in ETL tools and processes, and data warehousing solutions.
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Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
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Experience with Power BI and other visualization tools to convert raw data into actionable insights.
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Excellent problem-solving skills and ability to work in a dynamic and agile environment.
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Strong written and verbal English communication skills
Certifications Required
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Azure Data Engineer Associate
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Databricks Certified Data Engineer Professional
Additional Information
BENEFITS:
- Market competitive compensation.
- Medical Insurance.
- Work Laptop
- People before Profit Culture that values team members over financial numbers.