DATA ENGINEER COURSE

WinProSys’s Data Engineering course equips learners with essential skills to design, build, and manage data infrastructure for efficient, scalable, and reliable data processing across industries.

WinProSys

WinProSys

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Build Robust Data Pipelines

for Smarter Business Operations

WinProSys’s Data Engineer course trains you to design, build, and manage scalable data systems that power analytics, insights, and data-driven decision-making.

 

Hands-on
Training

Work on real-world projects using tools like SQL, Python, Spark, and cloud platforms.

Industry-Based Training

Master data engineering techniques aligned with modern enterprise and cloud data infrastructure needs.

Experienced
Experts

Learn from professionals with hands-on experience in building and maintaining large-scale data systems.

Placement Opportunities

Receive career support and connect with top recruiters in the data engineering field.

Years of Experience
+
Projects Completed
+
Placements Done
+
Students Trained
+

Limited Students Batch

Live Projects

Personalised Attention

Career Support

Highly Qualified Experts

Job Oriented Training

Flexible Batch Timings

Interactive Learning

Our Candidates Placed

Our candidates are placed at top-rated companies across various industries. At WinProSys, we ensure skill-matching and career growth by connecting talented professionals with leading employers for long-term success.

Course Curriculum

  • Understanding the role of a Data Engineer and their contribution to the data ecosystem.
  • Exploring the data engineering lifecycle and its significance in data-driven decision-making.
  1. Relational databases and NoSQL databases and their use cases.
  2. Introduction to distributed data storage systems like Hadoop HDFS and Amazon S3.
  1. Relational vs. NoSQL data modeling approaches.
  2. Overview of workflow orchestration tools like Apache Airflow and Luigi.
  1. Workflow management tools (Apache Airflow)
  2. Pipeline monitoring and management
  1. Data validation techniques
  2. Handling missing and erroneous data
  3. Data quality frameworks
  1. Data encryption
  2. Access control and authorization
  3. Compliance with data regulations
  1. Horizontal vs. vertical scaling
  2. Performance optimization strategies
  3. Load balancing
  1. Hadoop ecosystem
  2. Spark and distributed computing
  3. NoSQL databases
  1. Connecting to external data sources
  2. Data integration patterns

Professional Certificate

Beginner level

No previous experience necessary

Course Session

25 Days 1 Hours per day

Flexible schedule

Learn at your own pace

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Course Key Features

Gain expertise in creating effective data models that ensure data consistency, accuracy Hone your problem-solving abilities by tackling real-world data engineering challenges, applying critical thinking to design optimal solutions Creating clear and concise reports and dashboards to communicate findings to stakeholders

Skills Covered

Data Warehousing
SQL and NoSQL Databases
Cloud Platforms

Job Roles

Data Warehouse Developer
Cloud Data Engineer
Streaming Data Engineer

Quick Response

WinProSys ensures quick response times, addressing client queries and technical issues promptly for seamless project continuity.

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