Job Summary: At GRETA LABS, we are seeking a key Data Engineer to design and implement scalable data architectures on Azure, driving BI, advanced analytics, and AI. Key Highlights: 1. Design and implement scalable data architectures on Azure. 2. Key role in BI, advanced analytics, and artificial intelligence. 3. Advanced technology stack with Databricks, Spark, and Python. At **GRETA LABS**, we are looking for a **Data Engineer** to design and implement scalable data architectures in cloud environments (primarily Azure). This role will be critical to ensuring data availability, quality, and processing efficiency. The candidate will directly contribute to BI, advanced analytics, and AI initiatives. **Purpose:** Design, build, and maintain scalable data architectures in cloud environments (primarily Azure), ensuring batch and streaming data ingestion, processing, and availability for advanced analytics, BI, and AI models. **Responsibilities:** \* Design data pipelines \* Implement real-time ingestion solutions (event-driven) \* Develop efficient and scalable ETL/ELT processes \* Manage storage in data lakes and data warehouses \* Optimize performance and costs on cloud platforms \* Ensure data quality, governance, and lineage \* Integrate diverse sources (APIs, databases, events, IoT) \* Automate deployments (CI/CD) of data pipelines \* Monitor and resolve incidents in production pipelines **Technology Stack:** \* Azure product suite \* Databricks \* Apache Spark (PySpark / Scala) \* Apache Kafka (preferred) \* Python (required, advanced level) \* SQL (advanced level) \* CI/CD pipelines **Domain Expertise:** \* Data modeling \* Big Data processing \* Partitioning and optimization \* Handling of formats (Parquet, Avro, JSON) \* Data security and governance (RBAC, policies) Salary: Starting from S/.1\.00 per month Application Question(s): * What is your expected salary? Work Location: On-site employment