Bictors

Start Your Data Engineer Journey Now

Start Your Data Engineer Journey Now

Data Engineering Course Syllabus (4 Months)

Foundations

  • Excel: Basics, VLOOKUP, Pivot
  • Linux: Introduction, File System Navigation, Commands, Shell Scripting
  • Git & Version Control: Git Commands, Version Control, CI/CD

Programming for Data Engineering

  • Data Types, Operations, Conditional Statements, Loops, Strings, Data Structures, OOPs, Exception Handling & Modules
  • Advanced Python: NumPy, Pandas

Databases & Data Modeling

  • SQL (Relational Databases):
    DDL, DML, TCL, DCL, Filtering, Aggregations, Joins, Normalization, System Functions, UDFs, Subqueries, CTE, Window Functions, Views & Stored Procedures, Data Modeling, Indexing, Partitioning, Query Optimization
  • NoSQL: Introduction, MongoDB (Document Stores), Use Cases
  • Data Warehousing: OLTP vs OLAP, Star Schema, Snowflake Schema, Data Warehouse Design

Big Data & Data Streaming

  • Big Data Frameworks: Hadoop, YARN, MapReduce, Spark (Architecture, RDDs, DataFrames, SparkSQL, Parallel Processing, Transformations, Aggregations, Actions)
  • Data Streaming:
    Columnar Data Stores, Kafka (Introduction, Topics, Partitions, Producers, Consumers, Use Cases)

ETL & Orchestration

  • ETL/ELT Concepts: Data Ingestion & Transformation
  • Orchestration: Apache Airflow

Cloud Data Solutions

  • AWS: S3, EC2, EMR, Glue, Redshift, Athena, Lambda, Kinesis
  • GCP: BigQuery, Pub/Sub
  • Azure: ADF, Synapse Analytics, Blob Storage
  • Databricks: Apache Databricks for Unified Data Processing

Data Visualization

  • AI-Powered BI (Power BI): Modelling, Dashboarding, Reporting, AI Copilot

Capstone Project

  • End-to-End Data Engineering Project:
    Build a pipeline covering Ingestion → Transformation → Streaming → Storage → Visualization → Deployment on Cloud

Kickstart Your Data Engineering Journey – Enroll Today!

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Why Data Engineer?

Building Scalable Data Systems

Data engineers design and manage pipelines that ensure data flows smoothly, reliably, and at scale.

Enabling Data Science & AI

They prepare clean, structured data that empowers data scientists and analysts to generate insights and build AI models.

Driving Business Growth

By ensuring accurate and timely data, data engineers help organizations make informed, strategic decisions.

Future-Proofing Industries

They create robust architectures that adapt to emerging technologies, ensuring businesses stay competitive.

Why Bictors?

Choosing the right AI training institute is crucial for your career success. At BICTORS, we ensure that you receive top-notch education, practical experience, and career support to thrive in the AI industry

Master 20+ Essential Industry Tools

Job Roles After Course Completion

Data Engineer

Cloud Data Engineer (AWS/GCP/Azure)

Big Data Engineer

Data Pipeline Engineer

Data Integration Engineer

Business Intelligence (BI) Developer

ETL/ELT Architect

Streaming Data Engineer (Kafka, Spark Streaming, Kinesis)

Cloud Solutions Engineer (Data Focus)

Data Warehouse Engineer

Analytics Engineer

Data Architect

ETL Developer

SQL Developer

Data Analyst (with ETL/Engineering skills)

Platform Engineer (Data Platform specialization)

Top Hiring Partners

350 +

successful students

215 +

VIdeo Lessons

450 +

Hours of Content

200 +

Hiring Partners