Data Engineer / Data Scientist
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable batch and streaming data pipelines using Python, PySpark, and Azure Databricks.
Implement and optimize Spark applications, Delta Lake solutions, and APIs for data and machine learning projects.
Support MLOps workflows including model deployment and collaborate with cross-functional teams while owning deliverables independently.
Minimum Requirements
5–8 years of relevant experience in data engineering, data science, machine learning, or cloud analytics.
Strong hands-on expertise in Python, PySpark, and Azure Databricks.
Experience with MLOps practices and basic understanding of machine learning model deployment.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, or related discipline.
Ideal Candidate Profile
Experienced individual contributor capable of independently managing and delivering complex data engineering and ML tasks.
Strong technical skills in Azure cloud services, Spark job debugging, and data pipeline optimization.
Comfortable working remotely and collaborating effectively with technical and business teams in a fast-paced environment.