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.
- 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
• Valuable communication and Problem-solving skills.
📌 Azure Data Engineer (Chennai)
🏢 Orcapod Consulting Services
📍 Chennai
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