
Data Engineering Professional
3 days ago
We are seeking a skilled Azure Data Engineer to design and implement scalable data pipelines on our cloud-based platform.
The ideal candidate will work closely with data architects and other stakeholders to ensure data accessibility, reliability, and performance.
- Data Pipeline Development:
- Design and develop scalable data pipelines using Azure Synapse, Databricks & Apache Spark (PySpark).
- Maintain and optimize existing data pipelines for performance and cost-efficiency.
- Collaboration:
- Work with data architects, analysts, and product owners to understand data requirements and deliver solutions.
Key Skills and Requirements:
Technical Skills- Proficiency in Azure Synapse/Databricks and Apache Spark.
- Strong PySpark and SQL skills for data manipulation and querying.
- Familiarity with Delta Live Tables and Databricks workflows.
- Experience with ETL tools and processes.
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving abilities.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Minimum 2 years of work experience with Azure Synapse.
- 5 years of experience in data engineering.
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