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Master Data Engineering with Expert Training in Indore | Build Scalable Data Pipelines

Professional Certification of Data Engineering

Build Scalable Data Pipelines & Architect the Future of Data

100% Job Assistance Data Engineering Course

Course Duration: 12 Months, 10+ Guaranteed Interviews

Offline Sessions : 1.5 hours sessions 5 days a week from Monday to Friday

Online Sessions : 2 hours sessions Every Saturday and Sunday

Data Engineer

A Data Engineer designs, builds, and maintains robust data pipelines and infrastructure for collecting, storing, and processing large volumes of data. They ensure the availability, quality, and efficiency of data for analytics and business use.

Key Learning Outcomes
  1. ✅Foundations of Data Engineering
    • Understand data engineering roles, responsibilities, and workflows
    • Learn about batch vs. stream processing, OLAP vs. OLTP
  2. ✅ SQL & Data Modeling
    • Master advanced SQL for querying and manipulating large datasets
    • Design and implement relational data models (Star, Snowflake schema)
  3. ✅Data Warehousing Concepts
    • Learn how data warehouses differ from operational databases
    • Understand dimensional modeling, staging, and fact-dimension tables
  4. ✅ Data Pipelines & ETL/ELT Processes
    • Build ETL workflows using Python, Airflow, or Talend
    • Cleanse, transform, and load data into warehouses
  5. ✅Big Data Ecosystem
    • Work with Hadoop, Spark, and Kafka
    • Understand distributed computing, partitioning, and fault tolerance
  6. ✅ Cloud Platforms & Tools
    • Use AWS (Redshift, Glue, S3), Google Cloud (BigQuery, Dataflow), or Azure (Data Factory, Synapse)
    • Practice cloud-based data engineering workflows
  7. ✅ Data Lakes & Lakehouses
    • Differentiate between data lakes, warehouses, and lakehouses
    • Build scalable data architectures using modern frameworks like Delta Lake or Apache Iceberg
  8. ✅ Automation & Orchestration
    • Use Apache Airflow or Prefect to schedule, monitor, and automate data workflows
    • Implement CI/CD pipelines for data engineering
  9. ✅ Data Governance & Quality
    • Apply principles of data security, privacy, and compliance (GDPR, HIPAA)
    • Monitor and maintain data quality using profiling and validation techniques
  10. Real-World Projects & Use Cases
    • Build end-to-end data pipelines with real datasets
    • Simulate data ingestion, transformation, and loading into warehouses

Who Should Join Cypher Analytica Data Science Course?

    This Data Science course is perfect for:
  • B.Tech, BBA, BCA, B.Com, M.Com, BA, B.Sc, MBA, MCA students looking to start a career in Data Science.
  • Working professionals from finance, marketing, operations, or HR
  • Freshers eager to enter the booming field of Data Science.
  • Data enthusiasts who want to turn data into actionable insights.
    • Whether you’re a beginner or looking to enhance your existing skills, Cypher Analytica provides expert-led training to help you build a strong foundation and excel in the competitive Data Science industry!

Why Choose Cypher Analytica Over Other Institutes?

  • Industry-Leading Curriculum
  • 20+ years Experience corporate trainer
  • Flexible Learning Options
  • Affordable with Flexible Payment Plans
  • Live Projects & Hands-on Experience
  • Recorded Videos & Study Material
  • Guaranteed Internship Opportunities
  • Industry-Relevant Certifications
  • Resume Building & Interview preparation
  • 100% Placement Support

💬 Frequently Asked Questions (FAQs) – Data Engineering Course

What is Data Engineering and why is it important?
Data Engineering involves designing, building, and managing systems that collect, store, and analyze large volumes of data. It is essential for enabling accurate, real-time business decisions in today’s data-driven world.
Who can join this Data Engineering course?
This course is ideal for students from BTech, BCA, BSc (IT), MCA, or related fields, and also for professionals or freshers who want to build a career in big data and backend systems.
Do I need to know coding before joining?
No prior coding experience is required. We start from the basics and gradually move toward advanced tools and techniques.
What tools and technologies will I learn?
You will work with Python, SQL, Apache Airflow, ETL tools, Pandas, NumPy, Power BI, and cloud platforms like AWS or GCP.
Will I get hands-on project experience?
Yes. You’ll work on real-world datasets and build data pipelines, dashboards, and automation projects as part of the course.
Is this course beginner-friendly?
Absolutely. The course starts with the fundamentals and progresses to advanced data engineering skills — making it perfect for beginners.
What career paths can I pursue after this course?
You can apply for roles like Data Engineer, BI Engineer, Data Analyst, ETL Developer, or Data Platform Engineer.
Is placement support available?
Yes. We offer complete placement support, including resume building, mock interviews, and job referrals to hiring partners.
Do I get a certificate after course completion?
Yes. Upon successful completion, you’ll receive a certificate from Cypher Analytica, along with project-based credentials to enhance your resume.
How long is the course duration?
The course typically runs for 10-12 months, depending on your chosen mode (regular/fast-track/weekend).
Are the classes online, offline, or both?
We offer flexible learning — attend classes online, offline at our Indore center, or access recorded sessions anytime.
Will there be internship opportunities?
Yes. Based on your performance, guaranteed internships will be offered to help you gain real-time industry exposure.