Responsibilities:
- Work on developing cutting-edge data science and engineering solutions to help shape and drive business innovation.
- Ability to think outside the box and look for opportunities where ML or AI can solve problems in new and cutting-edge ways.
- Build a robust and scalable data architecture capable of handling large data volumes.
- Analyze complex data requirements and design data models that meet organizational needs.
- Design and be the lead developer on data pipelines to process and transform raw data efficiently from various sources.
- Implement backend microservices for large scale distributed systems using gRPC or REST.
- Apply data integration, validation and transformation techniques to ensure data quality and consistency.
- Optimize data processing pipelines and implement performance tuning techniques.
- Ensure the security and privacy of data by implementing access controls, encryption mechanisms, and data anonymization techniques.
- Establish monitoring and auditing mechanisms to proactively identify and rectify any data issues ensuring a high level of data integrity.
- Create and maintain visualization dashboards and reports for actionable insights.
- Work in an Agile environment focused on collaboration and teamwork.
- Develop roadmaps and requirements, identify risks, and develop contingency plans.
- Communicate project status to relevant partners.
About You
- 8+ years of professional experience in data engineering, software development, or MLOps involving large-scale, real-time cloud based distributed systems.
- Bachelors degree in Computer Science (or related field) or equivalent work experience.
- Strong foundation in data engineering concepts, including data modeling, database design, ETL (Extract, Transform, Load) processes, and data warehousing.
- Proficiency in Python, SQL, and PySpark, with a focus on applying these to data engineering tasks.
- Familiarity with various machine learning models like regression, classification, cl
📌 Full Stack Sr Data Engineer (Pune)
🏢 Workday
📍 Pune
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