AZURE Data Engineer 1. Data Pipeline Development: Design and implement data pipelines for data extraction, transformation, and loading (ETL) processes. Ensure data quality, reliability, and timeliness. 2. Data Integration: Oversee data integration efforts, ensuring seamless data flow between different systems and sources. Collaborate with data analysts, data scientists, and business stakeholders to define data integration requirements. 3. Data Modeling: Define and implement data models that support analytical and reporting needs. Optimize data structures for query performance and storage efficiency. 4. Database Management: Manage and optimize databases, both relational and NoSQL, for performance, scalability, and security.
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Experience:
5.5 to 8.5 years
• Mandatory

Skills:
Python, Pyspark, Databricks, Azure Services(ADLS, ADF, ADB), SQL Advanced Data Warehouse, Data Modeling, Data Strategy, Data Quality
• Positive communication and Problem-solving skills.

📌 Azure Data Engineer (Bengaluru)
🏢 Hawk Sense Business Solutions(formerly known as Hawk Sense Security Systems
📍 Bengaluru