? Key Responsibilities
- Design and build robust, scalable data pipelines and models.
- Transform raw data into actionable business insights.
- Develop ML models to automate processes and support predictions.
- Deploy and manage solutions using cloud platforms like Azure, Databricks, and ADLS.
- Ensure security, quality, and compliance across all solutions.
- Monitor systems, resolve issues, and drive root-cause fixes.
- Collaborate with cross-functional teams in an agile setting.
? Required Skills & Experience
- Proficient in Python, Java, or Go.
- Experience with Databricks, Delta Lake, and ETL tools.
- Solid SQL/NoSQL and data modeling knowledge.
- Hands-on with Docker, Kubernetes, Terraform (Infra-as-Code).
- Familiar with Azure or similar cloud ecosystems.
- Good understanding of DevOps, CI/CD, and observability.
- Bachelor’s degree in a relevant field or equivalent experience.
✅ Ideal Candidate
- Strong problem-solving mindset and critical thinking.
- Collaborative, proactive, and comfortable in fast-paced agile teams.
- Committed to continuous learning and staying updated with evolving technologies.
📌 1. Data Engineer, Developer Platform Engineering (Pune)
🏢 TalentOne HR Consulting
📍 Pune
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.