We are looking for a Data Engineer to design, build, and maintain robust data solutions on Microsoft Azure. The role involves working with modern data platforms and collaborating with crossfunctional teams to deliver highimpact, datadriven projects.
Key Responsibilities :
- Design and implement data solutions using data architecture, data warehousing, Databricks, Spark, Python, and Microsoft Azure.
- Collaborate with crossfunctional teams to gather requirements and develop technical roadmaps for largescale projects.
- Develop complex data pipelines with Spark and Python to extract insights from structured and unstructured data sources.
- Mentor junior team members and provide guidance on best practices to ensure highquality project delivery.
- Participate in code reviews to enforce coding standards and quality guidelines.
Required Skills :
- Solid proficiency in Python programming.
- Handson experience with Apache Spark for building data pipelines.
- Practical knowledge of Databricks and Azure cloud services.
- Understanding of data architecture and data warehousing concepts.
- Ability to work effectively with crossfunctional stakeholders.
Preferred Skills :
- Experience with additional bigdata technologies or programming languages.
- Familiarity with CI/CD pipelines and version control systems.
Qualifications :
- Demonstrated experience in data engineering or a related technical field.
📌 Data Solution Architect (India)
🏢 Orcapod Consulting Services
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.