Senior Data Engineer
5 days ago
At VC5 Consulting, we are seeking an experienced Senior Data Engineer to lead our data engineering initiatives. As a key member of our team, you will be responsible for designing and developing scalable and efficient data solutions on the Azure platform.
Key Responsibilities:- Define and drive the data engineering strategy for the company, aligning data initiatives with business goals.
- Establish software development standards and processes for code reviews, overseeing code standards and technical execution for all development staff.
- Lead designing workshops to fulfill functional and non-functional requirements effectively and efficiently.
- Develop and maintain advanced Data Engineering processes and patterns using Spark, Python, Scala, Databricks, Azure Data Factory, and other relevant tools to integrate data from various sources.
- Implement and configure Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Cosmos DB to build and manage data pipelines and data processing workflows.
- Create best practices for data modeling and indexing to ensure optimal performance and scalability.
- Oversee the implementation of data security measures and ensure compliance with data privacy regulations and industry standards.
- Monitor and optimize the performance of data solutions by identifying and addressing bottlenecks, fine-tuning queries, and ensuring efficient resource utilization.
- Bachelor's degree in Math, Computer Science, Engineering, Business Administration, or relevant practical experience.
- 10+ years of experience in data engineering or software engineering, with a proven track record of leading successful data initiatives in large organizations.
- Proven technology experience in a complex enterprise environment.
- Strong communication skills, both written and spoken.
- Proficiency in Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database.
- Experience in data modeling, data warehousing, and data lake design and implementation.
- Experience with programming languages such as SQL, Python, or Scala for data manipulation and scripting.
- Knowledge of data integration techniques, ETL processes, and data pipeline orchestration.
- Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability, and readability.
- Knowledge of AI and ML is a plus.
- Experience with agile delivery frameworks.
- Cleared criminal history and satisfactory reference checks.
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