If you look at the current industry trends, you must know that the demand for data-related roles has increased considerably. Designations like data scientists, data engineers, data architects, and data analysts have become quite popular and companies across the world are seeking skilled professionals for these job roles. Talking particularly of a data engineer, it is a role that may not have gained so much hype like the data scientist but is equally crucial for companies.
Basically, data engineers have the responsibility of preparing data for analytical or operational purposes. They create data pipelines so as to bring together information from different source systems. Integrating, consolidating, and cleaning data and making it easily accessible to data scientists is their major responsibility. Those who are serious about a career in this domain often take data engineer online training and gain the required skills. Additionally, there are some industry-recognized data engineer certifications that make you job-ready and allow you to get the instant attention of the hiring managers.
This article lets you know about the top big data engineer certifications offered by prestigious institutions and software companies. All of them involve some exams that you need to pass in order to qualify for the certification.
Here goes the list.
Associate Big Data Engineer by DASCA
The Data Science Council of America (DASCA) is the world’s foremost standards and credentialing body for the data science profession and offers this ABDE certification. If you are a fresh graduate and tech-school student looking for promising big data engineering jobs, then this certification is for you. This vendor-neutral credential demonstrates your proficiency and potential in developing and engineering Big Data programs, software, and applications.
Some of the important areas covered in the ABDE exam include Data Science, Hadoop, Python, R, Artificial intelligence and machine learning fundamentals, MongoDB, Kafka, Spark, Scala, and Flink.
CCP Data Engineer Certification by Cloudera
The Certified Cloudera Professional (CCP) Data Engineer certification is designed for professionals who want to perform core competencies required to ingest, transform, store, and analyze data in Cloudera’s CDH environment. Aspirants are expected to have in-depth experience developing data engineering solutions and a high level of mastery in skills like data ingestion, data analysis, creating a workflow, and transforming and staging data.
The CCP Data Engineer Exam (DE575) is a 240-minute test that involves 5 to 10 performance-based tasks on a pre-configured Cloudera Enterprise cluster. The passing score of the exam is 70%.
Big Data Professional Using SAS 9 Certification
You can demonstrate your ability to use open source and SAS data management tools and prepare big data for statistical analysis with this Big Data Professional certification by SAS. The certification holders are able to overcome big data challenges, execute critical SAS programming techniques, improve data quality for reporting and analytics, and apply fundamental statistical techniques.
To achieve this credential, participants need to pass two exams – SAS Big Data Preparation, Statistics, and Visual Exploration (110 minutes test involving 55 to 60 questions) and SAS Big Data Programming and Loading (105 minutes test involving 60 to 65 questions).
IBM Certified Data Engineer – Big Data
Do you want to possess a deep level of knowledge across a wide range of technologies and apply them to solve big data problems and build large-scale data processing systems? If yes, then this credential helps you gain all the skills and become a successful big data engineer. Applicants need to have a prior understanding of challenges in the data layer, translating functional requirements into technical specifications, cluster management, network requirements, data modeling, and so on.
The associated exam is IBM Big Data Engineer C2090-101 – a 75-minutes exam consisting of 53 multiple-choice questions. The exam is based on these sections – data loading, data security, architecture and design, performance and scalability, data preparation, transformation, and export.
Google Cloud Professional Data Engineer
Google describes a Professional data Engineer as someone who enables data-driven decision-making by gathering, transforming, and publishing data. This certification validates your understanding of designing data processing systems, building and operationalizing data processing systems, ensuring solution quality, and operationalizing machine learning models. It is recommended that you have over 3 years of industry experience including over 1 year in designing and managing solutions using Google Cloud Platform.
The associated exam is a 2-hour test that consists of multiple-choice and multiple select questions and taken remotely or in person at a test center. You can check the exam guide to understand if your skills align with the topics on the exam.
Amazon Web Services (AWS) Certified Data Analytics – Specialty
This credential verifies a candidate’s ability to design, build, secure, and maintain analytics solutions on the AWS cloud platform. It shows that you are an expert in AWS data lakes and delivering insight from data. Certification holders become aware of how AWS data analytics services fit in the data life cycle of collection. Storage, processing, and visualization. It is recommended to have a minimum of 5 years of experience with data analytics technologies before applying for the certification.
The associated exam is a 180-minutes test consisting of 65 multiple choice or multiple response type questions. This certification was formerly known as AWS Certified Big Data – Specialty.
