Data Engineer
1 month ago
Job Summary:
We are seeking a highly skilled Data Engineer to join our Product Development team focused on Data and Analytics. As a Senior Data Engineer, you will be responsible for designing and developing big data pipelines, enhancing data quality and efficiency.
This role involves combining data from various sources, conducting data analysis, and reporting results. You will also design and develop deployment automation to ensure seamless integration and operational efficiency.
The successful candidate will have a strong understanding of big data architecture, particularly within the Azure cloud environment, and experience with ETL tools, BI tools, and technologies like Azure Data Factory, Databricks, Synapse, and ADLS.
You will work as part of a dynamic team but also have the autonomy to manage individual projects and work. Your efforts will directly impact the quality of data-driven decision-making across the company.
Key Responsibilities:
- Design and develop big data pipelines using Azure Data Factory, Databricks, Synapse, and ADLS.
- Enhance data quality and efficiency by analyzing business requirements and translating them into technical designs.
- Develop and maintain high-quality, reusable, and well-documented code.
- Analyze business requirements and translate them into technical designs.
- Proactively communicate progress and potential issues to stakeholders.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Minimum of 5 years of hands-on experience with ETL tools, BI tools, and big data architecture.
- Experience with technologies like Azure Data Factory, Databricks, Synapse, and ADLS.
- Strong background in data modeling, data processes, and software development.
- Excellent written and verbal communication skills.
Compensation Package:
We offer a competitive salary range of $120,000 - $160,000 per year, depending on experience.
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