
Senior Data Pipeline Specialist
4 days ago
As a Data Engineer, you will be responsible for designing and developing robust data pipelines using Azure Data Factory (ADF) and Azure Databricks. Your expertise in SQL query writing, including window functions and stored procedures, will help us achieve our data analysis goals.
- Design and Develop Data Pipelines: Use ADF to create efficient data pipelines that meet our business needs.
- SQL Query Expertise: Write proficient SQL queries on Teradata and other cloud-based RDBMS for data mining and analysis.
- Collaboration and Communication: Work closely with project stakeholders, architects, and business teams to translate requirements into technical solutions.
- Big Data Handling: Gain hands-on experience with Azure Blob Storage and ADLS for efficient data handling and processing.
- PySpark/Scala Experience: Utilize PySpark/Scala for data transformation and processing within Azure Databricks.
- Azure Data Factory Experience: Strong experience in ADF, including design, development, and maintenance of data pipelines.
- SQL Knowledge: Proficiency in SQL (ANSI Standard), including writing proficient queries for data mining, window functions, and stored procedures.
- Cloud-Based Tools: Hands-on experience with Azure Blob storage and ADLS, as well as knowledge of version control tools like GitHub.
- Communication Skills: Good communication skills and strong analytical abilities for problem-solving.
- Orchestration Tool Knowledge: Familiarity with orchestration tools like Airflow for scheduling and managing data workflows.
- Domain Experience: Domain experience in Healthcare would be beneficial.
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