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Data Engineer Training Online

Data Engineer Online Course - Students will learn with real time examples, online practices to earn Data Engineer certification online” from the list of professional Instructors in USA. Below listed trainers provides learners training material, course curriculum, self-study videos, free demo, exam prep questions, e-books & more. All the Data Engineer online tutorial classes have exclusive lectures and comprehensive sessions on lessons to turn you as expert.

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      • Proximsoft
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      Data Engineer

      Proximsoft in Neptune, NJ provides instructor led live Online Data Engineer training with real time scenario, e-books, self-directed education programs , also facilities such as Placement, Individual Training, Corporate Training, Resume Assistance, Career Guidance
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      Data Engineer

      The next class is running  Feb 4 2026
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      Upcoming Instructor-Led Data Engineer live online training dates

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      • Feb 4 2026 Mar 6 2026
        Data Engineer
        Data Engineer
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        Proximsoft
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      • Feb 5 2026 Mar 7 2026
        Data Engineer
        Data Engineer
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      • Feb 6 2026 Mar 8 2026
        Data Engineer
        Data Engineer
        Online Training,
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        Proximsoft
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      Data Engineer interview questions

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      About our Data Engineer online course

      Our online Data Engineer course is designed to meet the growing demand for these professionals in the USA market. Whether you're a beginner, looking to upskill, or a professional considering a career switch, this course is for you. We provide an in-depth understanding of Data Engineering principles and techniques, preparing you for the challenges of real-world data scenarios.

      Data Engineer Course key highlights

      • Instructor-led/live online
      • Labs
      • Case studies
      • Capstone projects
      • Placement support
      • Resume and interview preparation

      Overview of our Data Engineer online Training

      Our online Data Engineer course is flexible with weekday/weekend schedules and includes live sessions and Learning Management System (LMS) access. Our lab environment uses real-world datasets for a practical learning experience.

      Tools & Systems Used:

      • Apache Hadoop
      • Apache Spark
      • Data warehousing tools
      • SQL and NoSQL databases
      • Python and R programming

      Objectives of our Data Engineer online training course

      • Understand and apply data engineering principles
      • Design, build and manage data infrastructures
      • Master data warehousing tools and systems
      • Learn to work with big data technologies
      • Develop skills in Python and R programming for data engineering
      • Prepare for Data Engineering job interviews

      What you will learn in our Data Engineer classes

      • Data Engineering principles and techniques
      • Big data technologies like Apache Hadoop and Spark
      • Data warehousing concepts
      • Working with SQL and NoSQL databases
      • Python and R programming for data engineering
      • Preparing for Data Engineering job interviews

      Course syllabus

      • Data Engineering principles
      • Big data technologies
      • Data warehousing
      • SQL and NoSQL databases
      • Python and R programming for data engineering
      • Job interview preparation

      Prerequisites: Basic knowledge of databases and programming. Included resources: LMS, recordings, templates.

      Course details

      <
      Weekday Live Weekend Live
      Duration (weeks) 8 10
      Hours per session 2 3
      Total Hours 32 30
      Mentorship Yes Yes

      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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