Minimum of 5 years of experience in data engineering.
At least 3 years of experience in Machine Learning engineering.
Solid skills in developing and deploying:
Data pipelines on cloud platforms like Azure, AWS, or Google Cloud.
Machine Learning models for real-world use cases.
APIs and microservices for data products.
Expertise in DevOps practices, CI/CD, and Infrastructure as Code.
Experience in working with technologies such as:
Python, Spark, Databricks, PySpark.
SQL and NoSQL databases.
Data modeling and data architecture.
Familiarity with Agile methodologies (e.g., Scrum, Kanban).
Strong understanding of data governance, privacy, and security principles.
Experience working in a large, complex Enterprise in a technology data-related role.
Experience with change management processes in software/data delivery.
Role: Data Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: Any Graduate

📌 Data & ML Engineer (Pune)
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