Senior Data Engineer
4 weeks ago
As a seasoned Data Engineer, you will be responsible for designing and implementing large-scale data engineering solutions using Azure Data Factory, Databricks, Azure Data Lake, and Azure SQL Database. Your expertise in building and automating data pipelines, data quality checks, and data warehousing will be crucial in driving business insights and decision-making.
Key Responsibilities:
- Design and implement data engineering solutions using Azure Data Factory, Databricks, and Azure Data Lake.
- Develop and maintain data pipelines, data quality checks, and data warehousing solutions.
- Collaborate with cross-functional teams to identify business requirements and design data engineering solutions.
- Stay up-to-date with the latest Azure data engineering technologies and best practices.
- Develop and maintain Spark applications using Pyspark and Spark-SQL for data extraction, transformation, and aggregation.
- Work with data scientists and analysts to develop and maintain data pipelines and data warehousing solutions.
- Develop and maintain Databrick notebooks to analyze and process data from Data Lake into Azure SQL database.
- Experience with Spark (Databricks or Synapse) or Modern Data Architectures such as Modern Data Warehouse and Data Mesh.
- Knowledge of Microsoft Azure cloud or other similar public cloud platforms.
- Hands-on experience from design through implementation of large-scale distributed data systems, setting examples for good data engineering practices, Continuous Integration/Continuous Deployment (CI/CD) and coding along the way.
- Possess problem-solving, technical, and data analysis skills.
- Good communication skills and teamwork and comfort with agile software development.
What We Offer:
- Competitive Salary
- 401(k) Savings Plan- Matched 150% up to 6%
- Medical, dental and vision benefits
- 100% Company-paid mobile phone plan
- 3 weeks Personal Time Off (PTO) and 7 Paid Holidays
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