Due to the growing nature of data as the blood of industries all around the world, the demand for data engineers has increased by leaps and bounds.
A data engineer is basically responsible for designing, building, and maintaining systems which process high volumes of data.
Such data then goes into the hands of companies, forming the foundation of decision-making, forecasting, and innovation.
To bridge this ever-growing gap for such professionals, many leading organizations have come out with special certification programs aimed at enhancing their skills in data engineering.
These include tools and technologies, cloud computing, pipelines, big data frameworks, among others
Most In Demand Data Engineering Certifications in India
CCP Data Engineer Certificate
The Cloudera Certified Professional Data Engineer is an extremely popular data engineering certification.
Time has merely allowed the platform Cloudera to establish itself as a backbone of big data technologies, and what is really being tested is the ability of the professionals to develop, manage, and optimize the big data pipelines using such open-source tools as Hadoop, Spark, and Hive.
The CCP Data Engineer Certificate is suitable for professionals seeking a deep foundation within big data ecosystems, particularly within organizations that heavily depend on Cloudera’s solutions.
In other words, as much as the Professional Certificate in Data Science by IBM is targeted towards data science, there is going to be a crossover of useful skills for aspiring data engineers
The certificate also exposes learners to a set of real-world data science projects that involve every stage of the data engineering process, from collecting to processing data.
The use of industry-standard tools like Jupiter Notebooks, Pandas, and Scikit-learn by IBM makes this certification even more appealing for those interested in both Data Science and Engineering.
Google Cloud Professional Data Engineer
Google Cloud Professional Data Engineer certification is at the top of the bucket for the aspirations of a cloud-based data engineer.
The skills for designing data processing systems, building and maintaining data structures, data security, compliance, and enabling machine learning using the Google Cloud Platform must be validated. Data pipeline architecture, use of services from BigQuery, Pub/Sub, and Dataflow for processing and analyzing data, are considered as expected knowledge.
Microsoft Azure Data Engineer Associate
Another giant in the list is Microsoft Azure, and the Data Engineer Associate moves ahead, focusing on utilizing the tools and services of Azure in design and in implementation in securing, scaling, and efficient data solutions.
The exam ranges over an entire range of Azure services: from Azure SQL to Azure Data Lake and Azure Databricks, as well as strategies in data integration and data management.
Python Projects for Data Analysis
Practical experience through hands-on Python projects on any project a professional is focusing on can improve their skills on data analysis.
Though it is not exactly a certification, working on Python projects for data analysis is highly recommended for data engineers.
Python finds itself in the list of the dominant languages in the data world, owing to its powerful libraries like Pandas, NumPy, and Matplotlib.
Cost and Duration of Popular Data Engineering Certifications
- CCP Data Engineer Certificate
- Cost: approximately ₹18,000 to ₹25,000
- Duration: The test is a one sitting exercise and takes approximately 4 hours, but the candidates will prepare for 6-12 months depending on their prior experience in big data technologies.
- IBM Professional Certificate in Data Science
- Cost: It is available at Coursera. Costing around ₹3,000 per month for the subscription to self-paced.
- Duration: It can be done within 3 to 6 months depending on the rate at which one completes the courses.
- Google Cloud Professional Data Engineer
- Cost: The exam fee would be around ₹14,500
- Duration: It will take a candidate around 3 to 6 months to prepare. Google Cloud is free or paid and, sources and preparation material are present.
- Microsoft Azure Data Engineer Associate
- Cost: The cost will be around ₹12,000 to ₹15,000 for the exam.
- Duration: The normal time taken to prepare for the exam is within 4-8 months, depending on whether the person is familiar with Azure tools.
- Python Projects for Data Analysis
- Cost: It will be free to low cost if one learns it self, although some platforms such as Coursera or edX charges a guided project course between ₹2,500 to ₹5,000.
- Duration: These take anything from 1 to 3 months, depending on complexity and time devoted to learning.
Jobs and Salary After Top Data Engineering Certifications
After any of these are completed, several jobs open up, such as Data Engineer, Big Data Engineer, Cloud Data Engineer, and ETL Developer. Here is the potential job work and salary levels:
- Junior Data Engineer
- Job Profile: Junior Data Engineer, ETL Developer, Cloud Data Analyst
- Salary: ₹4,00,000 to ₹8,00,000 per annum
- Key Skills: Developing data pipelines, data transformations; implementing/working with relational DBs
- Senior Data Engineer
- Job Profile: Data Engineer, Big Data Engineer, Data Architect
- Salary: ₹8,00,000 to ₹15,00,000 per annum
- Key Skills: Worked on cloud platforms, big data frameworks, and database management: Hadoop, Spark, SQL, NoSQL.
- Senior Data Engineer
- Job Roles: Senior Data Engineer, Lead Data Engineer, Cloud Solutions Architect
- Salary range: ₹15,00,000 to ₹30,00,000 per annum
- Key skills :to be acquired is advanced knowledge of cloud-based data engineering, handling the scale of data infrastructures, working big data solutions and machine learning systems.
- Google Cloud Cybersecurity and Data Engineering Specialized Roles
- Job Roles: Cloud Data Engineer with cybersecurity focus Data Security Engineer
- Salary: ₹12,00,000 to ₹20,00,000 per annum
- Key skill : are data protection, security of cloud infrastructure, and designing secure data processing systems.
Conclusion
Data engineers are in high demand with the growth of data-driven industries across sectors in India.
Powerful certifications like CCP Data Engineer Certificate, IBM Professional Certificate in Data Science, and Google Cloud Professional Data Engineer carve strong pathways in order to acquire the skills to construct, manage, and optimize data pipelines.
Although these certifications vary in costs and duration, they do bring great returns both in the career and pay scale.
