Description
Job Summary :
We are seeking a highly skilled Data Engineer with a strong background in Databricks and a passion for data engineering.
The ideal candidate will have extensive experience in designing and implementing data solutions using various technologies, including PySpark, Spark SQL, and Power BI.
This role requires a proactive individual who can work independently and collaboratively in a fast paced environment.
Required Technical Skills
- 7+ years of hands-on experience in software development, with a strong emphasis on Python programming.
- Deep expertise in PySpark (Spark SQL, DataFrames, and Datasets) for building and optimizing scalable data pipelines. (PySpark)
- Solid experience with Azure Databricks (Unity Catalog), including working with Delta tables, workflows, and scripting in Python.
- Understanding of data governance, data management, security, and compliance in cloud environments.
- Familiar with Azure cloud services, especially Azure Data Lake, Azure Data Factory,
- Experience with Power BI, including DAX and Power Query.
- Modeling data for Data Warehousing and Visualization projects through Semantic Layers.
- Skilled in writing complex SQL queries and building views involving joins across multiple tables.
- Proficient in tools like DevOps (project management), and version control and CI/CD pipelines.
Nice To Have Skills
- Experience Azure AI, Azure Copilot Studio and Azure Fabric.
- Experience building workflows with Power Automate.
- EventHub or Kafka for streaming data ingestion.
- Proficient in designing and implementing real-time data streaming solutions.
- Experience across the Software Development Lifecycle (SDLC), with a strong grasp of Agile Scrum methodologies.
Soft Skills & Collaboration
- Strong collaboration mindset with enthusiasm for mobbing sessions and crossteam coordination.
- Excellent problem-solving and code review skills.
- Strong communication skills with the ability to understand business requirements and translate them into technical solutions.
- Proactive and responsive during business hours for any ad-hoc calls or meetings.
- Demonstrated ability to prioritize effectively, think creatively, and adapt quickly to new technologies and feedback
(ref:hirist.tech)
