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Data Engineer Training and Certification

Launch your career in data engineering with hands-on training from industry experts. Master in-demand skills like SQL, Python, Spark, and data architecture. Learn to collect, process, and manage data for analytics—perfect for beginners. Start building scalable data systems today!

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About Our Data Engineer Training


Our Data Engineer Training is a career-focused program designed to transform beginner level to intermediate learners into job-ready professionals. You'll dive into the data engineering ecosystem and lifecycle, mastering essential tools like Python, SQL, and cloud platforms (AWS, Azure, GCP). The course blends theory with hands-on practice, covering data storage design, ETL pipelines, and big data technologies—ensuring you gain real-world expertise in data processing, security, and optimization.


Course Details


Duration: 12 Weeks


Format: Online/In-Person  


Level: Beginner to Advance


• Aspiring Data Engineers


• Software Developers transitioning to Data


• Database Administrators


• Analytics Professionals


Prerequisites: No prerequisite is required

Key Highlights

  • Live or virtual instructor-led classes
  • Quality course material provided
  • Become a certified expert on the subject
  • Instant access to reference material
  • Get high-pay jobs offers post-training

Upcoming Instructor-Led Data Engineer Class Date & Time as on June 15, 2025

Jun 16 2025
Jul 16 2025
Data Engineer
Data Engineer
Online Training,
$0.0000
Proximsoft
Jun 17 2025
Jul 17 2025
Data Engineer
Data Engineer
Online Training,
$0.0000
Proximsoft
Jun 18 2025
Jul 18 2025
Data Engineer
Data Engineer
Online Training,
$0.0000
Proximsoft
Jun 19 2025
Jul 19 2025
Data Engineer
Data Engineer
Online Training,
$0.0000
Proximsoft
Jun 20 2025
Jul 20 2025
Data Engineer
Data Engineer
Online Training,
$0.0000
Proximsoft

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Data Engineer

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About Data Engineer training

  • Overview of Our Data Engineer Course

    This comprehensive course equips you with end-to-end data engineering skills, from relational databases (MySQL, PostgreSQL, IBM Db2) to modern NoSQL databases and data streaming. You'll learn to develop data processing systems, implement ETL workflows, and work with Hadoop, Spark, and Apache Kafka for large-scale analytics. We also emphasize data governance, architecture, and real-time processing, preparing you for the industry’s evolving demands.
  • Objective of Our Data Engineer Course

    • Equip you with SQL, Python, and cloud computing skills for data transformation.

    • Train you to design and implement scalable data storage solutions.

    • Teach data modeling, orchestration, and quality best practices.

    • Enable hands-on experience with big data processing technologies and pipelines.

    • Cover data security, compliance, and monitoring for robust systems.

    • Prepare you for real-world data integration and analysis challenges.

  • What You Will Learn in Our Data Engineer Classes

    • Build and manage relational & NoSQL databases with optimized schemas and queries.

    • Develop ETL processes to automate data extraction, transformation, and loading.

    • Construct data pipelines using Spark, Kafka, and cloud services.

    • Implement real-time data streaming and warehousing solutions.

    • Apply data structures, algorithms, and governance for efficient workflows.

    • Secure and monitor data systems for performance and compliance.

Data Engineer syllabus

FAQ's on Data Engineer training & certification

  • What is a Data Engineer?

    A Data Engineer is a worker who is in charge of designing, building, and taking care of an organization's data infrastructure. This means making ETL (Extract, Transform, Load) processes that are scalable and efficient, finding ways to store data, and making sure that data analysts and scientists have access to high-quality data.
  • What are the prerequisites for a Data Engineering course?

    A strong understanding of programming languages (like Python or Java), databases (SQL and NoSQL), and basic computer science concepts (like data structures, algorithms, and complexity) is usually required for a data engineering course. Distributed computer systems, like Hadoop and Spark, are also helpful to know about, but not always needed.
  • What are the key skills and tools a Data Engineer should learn?

    Key skills and tools for a Data Engineer include:


    • Programming languages: Python, Java, or Scala
    • Databases: SQL (MySQL, PostgreSQL, Microsoft SQL Server) and NoSQL (MongoDB, Cassandra, HBase)
    • Big Data frameworks: Hadoop, Spark, Flink
    • Data warehousing: Amazon Redshift, Google BigQuery, Snowflake
    • ETL tools: Apache NiFi, Talend, Informatica, Apache Airflow, Prefect
    • Cloud platforms: AWS, Google Cloud Platform, Microsoft Azure
    • Data visualization: Tableau, Power BI, Looker
  • What is the duration of a typical Data Engineering course?

    The length of a normal Data Engineering course depends on how in-depth it is and how much it covers. It can be as short as a few weeks for a basic study or as long as a few months for a program that covers everything about the field.


  • Are there any certifications available for Data Engineers?

    Yes, there are several certifications available for Data Engineers. Some popular ones include:

    • Google Cloud Professional Data Engineer
    • AWS Certified Data Analytics - Specialty
    • Microsoft Certified: Azure Data Engineer Associate
    • IBM Data Engineer Professional Certificate
    • Databricks Certified Data Engineer


  • Can a Data Engineer transition to a Data Scientist role?

    Yes, a Data Engineer can become a Data Scientist by learning more about statistics, machine learning, and how to show data visually. To build up their Data Science skills, they can take relevant classes and get hands-on practice through internships or personal projects.
  • Is it necessary to have a computer science degree to become a Data Engineer?

    Even though a degree in computer science can be helpful, it is not a must-have to become a Data Engineer. Many professionals have different kinds of schooling, like in math, engineering, or physics. Most important is having the right skills in programming, databases, and other tools for processing data. Self-paced learning, online classes, and coding boot camps can all help you get a good start in these areas.

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