Lead Python Data Engineer

2 days ago


Noida, Uttar Pradesh, India Algoworks Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Lead Python Data Engineer - Databricks (Unity Catalog, Delta, CI/CD) 

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 cross-team 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.

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