Hi,
Are you looking to start a career in Data Engineering, transition from another IT role, or strengthen your existing data skills?
Explore a structured, industry-focused Data Engineering career designed around the technologies and skills commonly used in modern cloud data environments.
🔹 What You’ll Explore
Programming & Databases
- Python programming
- Advanced SQL
- Data structures and data processing concepts
- Relational databases and query optimization
Cloud & Data Platforms
- Microsoft Azure / AWS fundamentals
- Azure Data Lake Storage
- Cloud-based data architecture
- Data storage and processing solutions
Data Engineering Technologies
- Apache Spark & PySpark
- Databricks
- Snowflake
- Apache Airflow
- ETL / ELT pipeline development
- Batch and real-time data processing
- Data warehousing and dimensional modeling
Hands-On Project Exposure
Work with practical data engineering scenarios involving:
- Data ingestion from multiple sources
- Building ETL/ELT pipelines
- Data transformation and cleansing
- Designing scalable data platforms
- Creating analytics-ready datasets
- Cloud-based data workflows
🎯 Who Is This For?
✔ entry level candidates looking to enter the Data Engineering field
✔ IT professionals looking for a career transition
✔ Software developers interested in data engineering
✔ SQL/Database professionals looking to expand their skills
✔ Data professionals looking to strengthen their cloud expertise
✔ Professionals seeking hands-on exposure to modern data technologies
🌟 Why Data Engineering?
Modern organizations rely on data platforms to support analytics, business intelligence, reporting, and AI applications. Data Engineering professionals play an important role in building the pipelines and platforms that make this possible.
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Sapna B
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Senior Manager Sales-Recruitment
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Sapna.bhadauriya |
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