Job Description

We re hiring experienced Data Engineer to support large-scale data transformation project. You ll be embedded within a high-performing team delivering mission-critical data platforms using Databricks and AWS.

This is a hands-on engineering role focused on architecture, implementation, and optimization of robust data solutions at scale.

Key Responsibilities
- Design, build, and deploy data pipelines and platforms using Databricks and cloud infrastructure (preferably AWS)
- Lead or contribute to end-to-end implementation of data solutions in enterprise environments
- Collaborate with architects, analysts, and client stakeholders to define technical requirements
- Optimize data systems for performance, scalability, and security
- Ensure data governance, quality, and compliance in all solutions

Required Skills Experience
- 7+ years of experience in data engineering
- Deep expertise with Databricks (Spark, Delta Lake, MLflow, Unity Catalog)
- Strong experience with cloud platforms, ideally AWS (S3, Glue, Lambda, etc.)




- Proven track record of delivering complex data solutions in commercial space like Sales, Marketing, Pricing, Customer Insights
- At least 4 years of hands-on data pipeline design and development experience with Databricks, including specific -platform features like Delta Lake, Uniform (Iceberg), Delta Live Tables (Lake flow Declarative pipelines), and Unity Catalog.
- Strong programming skills using SQL, Stored Procedures and Object-Oriented Programming languages (Python, PySpark etc.).
- Experience with CI/CD for data pipelines and infrastructure-as-code tools (e.g., Terraform)
- Strong understanding of data modeling, Lakehouse architectures, and data security best practices
- Familiarity with NoSQL Databases and Container Management Systems.
- Exposure to AI/ML tools (like mlflow), prompt engineering, and contemporary data and AI agentic workflows.
- An ideal candidate will have Databricks Data Engineering Associate and/or Professional cer

📌 Data Engineer (Pune)
🏢 Micronet%20solutions
📍 Pune