Azure Data Engineer

April 24

Analytica

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Data-driven consulting and technology services

Information Management • Analytics • Systems & Software Engineering • Data Management • GIS

51 - 200

Description

• Designing, developing, testing, and deploying data pipelines, data warehouses, and data lakes using Azure Data Factory, Azure Synapse, ADLS, T-SQL scripts and Python notebooks • Manage data quality and integrity, resolving issues, and creating technical documentation • Automate data platform operations and manage the post-production system and processes • Design efficient data models from a logical design based on business requirements and available use patterns • Ability to triage and self-direct, prioritize and manage time effectively

Requirements

• Bachelor’s Degree in Computer Science, IT, Computer Engineering, or related field • 5+ years in the software engineering profession • At least 3 years of experience in data engineering and data warehousing using Azure Data Factory, Azure Synapse, ADLS • Proficient in Dimensional data modeling, T-SQL development, Python, and familiar with Spark • Experience with methodologies agile development and DevOps tools, such as Azure DevOps, GitHub, or GitLab

Benefits

• Competitive compensation with opportunities for bonuses • Employer-paid health care • Training and development funds • 401k match