
Data Engineering Lead
2 days ago
Job Summary:
The Senior Data Engineer will design, build, and maintain large-scale data systems to support business growth. This role requires a strong understanding of data modeling, SQL, ETL, and data warehousing.
Key Responsibilities:
- Develop and implement data lakes using Azure Data Factory, Spark, and Azure Databricks.
- Design ETL processes to ingest data into the data warehouse and data lake.
- Partner with cross-functional teams to define requirements and deliver scalable solutions.
- Apply expertise in large dataset design, creation, management, and utilization for business value.
- Establish service level agreements (SLAs) for owned areas.
- Possess experience in data modeling, SQL, ETL, data warehousing, and data lakes.
- Proficient in writing SQL and Python scripts.
- Skilled in building dashboards and reports using Microsoft Power BI.
Required Skills and Qualifications:
- Experience in transforming data using Azure Data Factory.
- Familiarity with Spark and Azure Databricks.
- Ability to balance competing priorities and attention to detail.
- Strong communication and data presentation skills.
- Knowledge of scripting languages such as Python, PySpark or JavaScript.
- Understanding of Azure Databricks and MPP databases.
- Experience in data lake development.
- Exposure to NoSQL databases like Cosmos DB or MongoDB.
- Experience working on Microsoft Power BI dashboards.
- Experience following Agile methodologies.
- Experience with distributed version control systems like Git.
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