Certified Data Engineer Certification (CDE-DS2150)

  • Master Data Engineering: Gain expertise in designing, building, and managing robust data infrastructure through our certified data engineer program.
  • Stand out in the Industry: Differentiate yourself with a certified data engineer credential, unlocking opportunities in a competitive job market.
  • Advance Your Career: Open doors to exciting opportunities and enhance your technical skills with a certified data engineer certification.
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Securing a Data Engineer Certificate opens doors to myriad professional opportunities. This esteemed credential validates your proficiency in harnessing big data, setting you apart in the competitive data integration field.

The certification process refines a crucial skill set, emphasizing expertise in data architecture and pipelines. As a Certified Data Engineer, you'll adeptly create, maintain, and optimize data infrastructure systems throughout the entire data lifecycle. This ensures accuracy, completeness, and security, playing a pivotal role in processes like data warehousing and database management.

Data modeling stands out as a core expertise for a Certified Data Engineer. Mastery in this area allows professionals to decipher raw data, transforming it into actionable insights crucial for shaping business decisions and fueling growth.

Proficiency in ETL (Extract, Transform, Load) processes is another critical skill. ETL experts adeptly extract data from diverse sources, transform it into a usable format, and load it into destinations like databases or data warehouses. This ensures businesses access the right data at the right time, underscoring the Certified Data Engineer's pivotal role in operations.

The certification also encompasses data analysis, an increasingly sought-after skill. Analyzing vast data volumes, identifying patterns, and drawing insights are vital aspects of data-driven decision-making. This ability positions you to bring significant value to any organization.

Attaining a Data Engineer Certification is a strategic move for aspiring data engineers. This certification propels your career in a promising direction, empowering you to make substantial contributions to your organization's data-driven decisions.


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Data Engineering Fundamentals

  • Introduction to data engineering
  • Role and responsibilities of a data engineer
  • Data engineering lifecycle and methodologies
  • Data governance and data management principles

Data Modeling and Database Systems

  • Relational database concepts and design
  •  Dimensional modeling and data warehousing
  • NoSQL databases and data modeling
  • Database optimization and performance tuning

Big Data Technologies

  • Introduction to big data technologies (e.g., Hadoop, Spark)
  • Hadoop ecosystem components (HDFS, MapReduce, Hive, Pig)
  • Apache Spark for large-scale data processing and analytics
  • Data streaming frameworks (e.g., Kafka, Apache Flink)

Data Integration and ETL Processes

  • Extract, Transform, Load (ETL) concepts and methodologies
  • Data ingestion techniques (batch processing, real-time streaming)
  • Data integration tools (e.g., Apache NiFi, Talend, Informatica)
  • ETL pipeline design and implementation best practices

Data Pipelines and Workflow Orchestration

  • Workflow orchestration tools (e.g., Apache Airflow, Luigi)
  • Designing and implementing data pipelines
  • Data pipeline monitoring and error handling
  • Scalability and fault tolerance considerations

Cloud Computing and Data Platforms

  • Introduction to cloud computing platforms (e.g., AWS, Azure, GCP) .
  • Cloud-based data storage and processing solutions 
  • Serverless computing and managed services
  • Data security and privacy in the cloud

Data Quality and Data Governance

  • Data quality assessment and improvement techniques
  • Data lineage and metadata management
  • Data cataloging and data governance frameworks
  • Compliance and regulatory considerations

Real-time Data Analytics and Machine Learning

  • Real-time data processing and analytics frameworks (e.g., Apache Kafka, Apache Flink)
  • Streaming data analytics and complex event processing
  • Introduction to machine learning and model deployment
  • Integrating machine learning pipelines into data workflows

Data Visualization and Reporting

  • Data visualization principles and best practices
  • Data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib)
  • Creating interactive dashboards and reports
  • Storytelling with data and communicating insights effectively

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Certified Data Engineer

(Test Preparation Study Guide)

Become a Certified Data Engineer with our comprehensive certification program. Access our free study guide for a quick and effective way to prepare for the exam. Start your journey now

The Benefits

International Credential

IABAC is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.

Global Opportunities

IABAC certification provides global recognition of the relevant skills, thereby opening opportunities across the world.


IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.

Relevant and updated

IABAC CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.

Higher Salaries

On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.

Summits & Webinars

In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.

Not sure which certification suits your goal? Get a free counselling


Does IABAC provide training for the Certified Data Engineer Certification?

IABAC doesn’t provide training for Certified Data Engineer Certification but IABAC has a world-wide network of authorized training partners, who provide training aligned with the IABAC program syllabus.

Does Certified Data Engineer Certification require renewal?

Certified Data Engineer Certification is an advanced level certification and thereby, as per IABAC guidelines, this certification requires renewal every 3 years.

What is the process to re-take Certified Data Engineer Certification exam?

The Certified Data Engineer Certification exam retake process is the same as the regular booking. If you have booked through IABAC authorized partners then, your training institute can book the retake at significant discount.

How long does it take to get a Certified Data Engineer Certification after the exam completion?

The time taken for Certified Data Engineer Certification after the exam completion is usually 10 working days.

What is IABAC Certified Data Engineer Certification value in the global market?

IABAC is arguably the most respected certification and the world’s first Certified Data Engineer Certification board based on the European commission Edison framework.  The regions such as the USA, UK, Singapore, India and the Middle-east, IABAC is well recognised and many MNCs specifically mention IABAC requirements in their job descriptions.