Azure Data Technical Specialist
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis · Software Engineering
In short
The Azure Data Technical Specialist will be responsible for designing, developing, and maintaining data pipelines and ETL processes using Azure Data Factory, Azure Databricks, SQL, and Python. This role involves optimizing data transformation and storage on the Azure cloud platform to derive valuable insights and meet business needs.
Responsibilities
- Design, develop, and implement data pipelines using Azure Data Factory (ADF) to move data between various sources and data warehouses.
- Utilize Azure Databricks for data transformations and analytics to derive valuable insights from data.
- Write and optimize SQL queries to extract, manipulate, and analyze data from multiple sources.
- Develop and maintain Python scripts for data processing and automation tasks.
- Collaborate with cross-functional teams to understand data requirements and ensure data solutions meet business needs.
- Monitor data pipeline performance and troubleshoot issues to ensure data accuracy and reliability.
- Stay updated on industry trends and best practices related to Azure Data Factory, Azure Databricks, SQL, and Python.
Requirements
- Proficiency in Azure Data Factory (ADF) for data integration and orchestration.
- Experience working with Azure Databricks for data engineering and analytics.
- Strong SQL skills for data querying and manipulation.
- Proficient in Python programming for data processing and automation.
- Strong analytical and problem-solving skills with a high attention to detail.
- Excellent communication and collaboration abilities to work effectively in a team environment.
- Ability to adapt to changing priorities and handle multiple tasks simultaneously.
Desired Qualifications
- Azure Data Factory, Azure Databricks, SQL, or Python certifications are a plus.
Benefits
- Supercharge your potential.
- Find your career.
- Find your spark.
- A place that knows that helping its customers stay on top starts by putting its people first.
#Azure Data Factory#Azure Databricks#SQL#Python#Data Pipelines#ETL#Data Transformation#Data Storage#Data Engineering#Analytics