
Chief Data Architect
2 days ago
Job Title
Azure Data Engineering is a high-growth career opportunity for experienced data professionals looking to work on large-scale data engineering projects.
About the Role
- This position involves designing and developing scalable data pipelines, implementing efficient data processing techniques using Spark, and collaborating with cross-functional teams to drive business outcomes.
- You will be responsible for designing and developing scalable data pipelines, implementing efficient data processing techniques using Python and Pandas, and collaborating with Architects and Business stakeholders to understand reporting requirements.
- Maintain and improve existing reporting pipelines and infrastructure.
Key Responsibilities
- Data Pipeline Development: Design and develop scalable data pipelines using Apache Spark.
- Data Processing Techniques: Implement efficient data processing techniques using Python and Pandas.
- Team Collaboration: Collaborate with Architects and Business stakeholders to understand reporting requirements.
- Pipeline Maintenance: Maintain and improve existing reporting pipelines and infrastructure.
Requirements
- Experience: Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes.
- Skills: Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy. Experience with SQL, Snowflake, and Spark for data querying and aggregations.
- Candidates: Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake. Excellent communication and collaboration skills. Ability to work independently and manage multiple tasks effectively.
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