Job Description:
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 environment.

Required Skills & Experience

- Proficient in Python, Java, or Go.

- Experience with Databricks, Delta Lake, and ETL tools.

- Strong 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

- Robust 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 (Software Engineer): (Hyderabad)
🏢 TalentOne HR Consulting
📍 Hyderabad