Data Engineering Course

What is a data engineering course, and why is it essential for your career?

While data is often termed as the new oil in today’s digital-first economy, just like oil, it is only useful after refining and transportation. We at SevenMentor offer a professional data engineering course to teach students to build robust data pipelines that can transfer data to secure data warehouses and can be analyzed. In the absence of these data pipelines, AI, machine learning, and business analytics cannot function.

Studying data engineering in a course for professionals, like the ones we offer at SevenMentor, will help you get a huge competitive edge on the job market. This course will make you an expert in the design, build, and management of data pipelines, and you will also get to learn to problem-solve in a logical and very detailed way, being able to deal with huge bottlenecks in big data workflows. At the end of this data engineering course, you will get a certification and be ready to apply for top jobs like the one of a certified Azure data engineer, cloud data engineer, or big data developer.

We consider data engineering one of the smartest career choices in today’s competitive world for reasons listed below.

• The Backbone of Tech: Data engineering forms the infrastructure for every modern AI, cloud application, and predictive analytics model.
• Massive Skill Demand: The amount of data organizations around the world are generating every day is increasing at an exponential rate. There is a huge shortage of skilled data engineers around the world who can manage such humongous amounts of data on a daily basis.
• Lucrative Compensation: Data engineering is one of the highest-paying domains in IT, as it requires specialized technical skills.
• Future-Proof Role: The reliance on clean data flows through automated systems in cloud systems means data engineers will have a future-proof role in the long term.

What are the benefits of earning a data engineering certification?

A formal data engineering certification from established data science training centers in India, like SevenMentor, to name a few, goes a long way in establishing a data engineer’s credibility with regard to the candidate’s ability to automate data and manage cloud data warehousing / big data platforms. Most organizations in sectors like fintech, healthcare, and e-commerce, as well as mainstream IT, look for candidates with formal certification in data engineering above anything else.

By going through our data engineering classes, you get to learn the tricks of data automation and also how to manage large cloud infrastructure. The Data Engineering Certification acts as a connection between the knowledge gained in schools and the reality of what companies are looking for. It clearly indicates to the employers that you have the necessary skills in order to manage and optimize the data of a company, whether it is in the field of fintech, healthcare, e-commerce, or a normal IT company.

Earning a certification offers several advantages to a professional:

• Instant Resume Credibility: You get instantly recognized by any hiring process when you have a structured certification versus having learned data engineering on your own and going through grueling resume screening.
• Higher Salary Package: A certified data engineer is capable of negotiating a higher salary on joining as well as a higher appraisal percentage in the future.
• Expertise in All Tools: Become an expert in using actual data engineering tools like Python, SQL, Apache Spark, and Hadoop.
• Career opens up globally—Learn data engineering concepts and services as part of international cloud frameworks; thus, you can apply for jobs based in India or abroad.
• Also get a placement advantage after data engineering certification / complete data engineering training at SevenMentor and get the benefit of resume building, mock interviews, and actual placements / corporate hiring through job fairs conducted in SevenMentor.

Why Choose SevenMentor Institute for Your Data Engineering Training?

Best Data Engineering" is a topic of great interest for many aspirants of data engineering. When looking for the best data engineering course, classroom theory alone is not sufficient. SevenMentor, the best training institute for the Data Engineering Course, is bridging the gap of learning and real-life implementation through its 1-year program, integrated syllabus on cloud, big data, and ETL workflows, and real-life internship.

Our online Data Engineering Course would teach you exactly the same course content that you would get through our offline Data Engineering Classes. Our students enrolled for our Data Engineering Online Course are given access to online cloud labs, the same set of live projects, the same amount of one-on-one time with the mentors, and the same amount of placement support as given to students enrolled for our offline Data Engineering Training Program.

• Expert Faculty: More than 10 years of hands-on experience in data architecture, in reality and in the classroom for students to grasp better.
• Flexible Learning Formats: We conduct immersive offline batches as well as a flexible data engineering online course for working professionals.
• Affordable Education: Affordable course fee with the option of EMIs.
• Complete Placement Assistance: SevenMentor provides you with complete assistance during placement, starting from creating your best resume for a data engineering position to cracking the interviews of corporations that hire data engineers through our data engineering mock interviews and keeping you updated with live job alerts for data engineering positions.
• Corporate-Grade Infrastructure: Live training on large data sets and real-life problems in live AWS, Azure & Google Cloud platforms.

What Technical Tools and Skills Are Covered in This Data Engineering Syllabus?

How do you survive in the world of today’s technology? It is very important to know how to use the complex technology that large tech companies use to run their day-to-day activities. SevenMentor’s Data Engineering Course provides students with an in-depth training program, which will provide you with in-depth knowledge on the modern data stack and help you to move from being a basic programmer to being able to handle large amounts of data to run an organization.

The data engineering classes at SevenMentor are structured in such a way that students learn all the data engineering tools and technologies end-to-end, i.e., learning a tool in isolation is not what SevenMentor does. Rather, we teach and make students learn how different technologies work end to end to create a data ecosystem and solve problems end to end. The syllabus is designed in such a way that students learn to write database queries optimally to deploy complex data pipelines in the cloud.

• Basics of Programming and Databases: You will learn about the fundamentals of programming with the Python language and the most recent commands of SQL for fetching data in an optimal manner.
• Big Data Computing: Learn to work with big data files through big data distributed computing platforms like Hadoop and Apache Spark (PySpark).
• Automation and Orchestration of ETL & ELT Pipelines: Prepare yourself with the required skills to create and manage ETL and ELT pipelines with the help of technologies such as Apache Airflow, Apache Kafka and Apache NiFi.
• Modern Cloud Data Warehouses: Gain knowledge about handling huge volumes of data via modern cloud data warehouses such as Snowflake, AWS Redshift, Google BigQuery.
• Cloud Data Architecture: Learning to scale in the cloud data world and become a cloud data engineer working on challenging data projects and companies around the globe.

Why are hands-on projects vital in a data engineering course?

Data engineering is an applied science; therefore, learning data engineering through reading a book or watching tutorials will not be sufficient to master it. At SevenMentor we strictly follow the approach of imparting data engineering training through the method of project work as part of our data engineering course. Our 1-year data engineering training program has been specifically designed to include implementation of real-time projects and also includes an internship of a practical nature.

SevenMentor’s data engineering training program will help students to work on real-world data engineering projects with messy, unstructured, and huge amounts of data, which will help them in developing an impressive portfolio that will help recruiters to know that the candidate can deploy a production-ready data engineering system from Day 1 without any guidance.

Our intensive project work is structured to help you to get to grips with the following operational workflows of data engineering:

• Build End-to-End Pipelines: Develop ETL/ELT pipelines and implement them in production by making data ingestion of raw data smooth.
• Managing Data Streams: Managing both real-time data streams and scheduled high-volume batch data processing.
• System Optimization: Learn how to make the best use of very large datasets of data and thus cut down costs of data storage in the cloud and also improve the query performance.
• Fault-Tolerant Scheduling: We use Apache Airflow for scheduling all the data pipelines' workflows and handle failures/retries seamlessly for spending maximum time delivering value from data rather than troubleshooting systems.

Career Prospects and Salary Paths Post-Certification?

Data engineering certification is industry agnostic and will open doors for top organizations in finance (FinTech), e-commerce, healthcare, and IT services. Since, at the core of business intelligence and AI, is clean, organized data, companies are always on the lookout for specialized data engineers, and this field is future-proof and safe.

Graduates from the Data Engineering Certification Program taught in the classroom as well as through the Data Engineering Online Course will have the option to choose from the same pool of top-notch career opportunities. A data engineer's job is considered to be among the highest-paying in the industry, as salaries increase dramatically with experience in cloud and big data tools.

Upon completion of the course, candidates can look forward to being placed in the following high-paying job profiles:

• Data Engineer / Data Pipeline Engineer: Create and manage core data pipelines for large enterprises to enable a smooth flow of data for decision-making.
• Big Data Developer / Spark Specialist: Architecting massive distributed computing clusters to process large volumes of raw unstructured information to extract business value from such a huge volume of data.
• ETL Developer / Analytics Engineer: An ETL (Extract, Transform, Load) Developer / Analytics Engineer would specialize in transforming raw data into organized, cleaned data that is suitable for use by an analytical team.
• Cloud Data Engineer: Construct, manage and run cloud-native storage systems such as data lakes within cloud platforms like AWS, Azure and Google Cloud.
• Competitive Salary: The salary package starts at an average of ₹5-8 LPA for freshers and ₹10-16 LPA for mid-level data engineers while that of senior data engineers can be anywhere up to ₹18-30 LPA+.

How Does SevenMentor Solve the Most Common Pitfalls Found in Typical IT Training Institutes?

The training institutes that offer Data Engineering courses charge some hidden placement fee, and the worst trainers and worst job opportunities in the industry are the reasons that many students who are keen to take a course to become professionals in the IT industry are wary of joining such courses. Here at SevenMentor, we also used to have similar complaints and feedback from students who have joined our Data Science with Big Data course previously. We had a rethinking on it and redesigned our course to make sure that we don’t have such complaints from students who are going to join our data engineering classes. We at SevenMentor are committed to providing quality training to the students, and we work hard to make sure that we create a professional in the IT field, and for that we make sure that we create a learning environment that is just like a corporate environment.

SevenMentor is the best way to get started with data engineering classes in order to get started with your career as a data engineer quickly. Our rigorous criteria for the operations conducted by the students of data engineering classes ensure that the students have minimal anxiety in order to succeed in a career in the field of data engineering. SevenMentor assures that all the guarantees that are made by the mentor are put into practice by strict criteria of the infrastructure invested in and the way the trainers teach.

• Transparent Placement Support: We have a clearly stated fee and absolutely no hidden charges post your interview for placement. No surprise charges for post-placement activities.
• Verifiable Job Descriptions - All companies that SevenMentor's placement cell verifies for placements are 100% verified and the students will only be sent for interviews for actual high-paying data engineering jobs and NOT for unpaid internships, data entry jobs, technical support jobs, etc.
• Stable, Expert Faculty Lineup: SevenMentor's data engineering course for placement is designed and taught by our permanent faculty members, including our senior data architects and instructors who have over 10 years of experience in the industry. This helps our students in tracking the correct and stable study material; thus, there is no risk of change in trainers in the middle of the batch. Thus, there will be an in-depth study of all the topics related to data engineering and also help students in deriving the right solutions to complex problems.
• Enterprise-Grade Infrastructure: We provide 24/7 running cloud platforms for hands-on practice where robust server uptime is guaranteed to provide students the best possible environment to practice and to avoid any data loss that usually occurs in local infrastructure. Students are trained in a real-time environment of a large corporation where they design large-scale data systems.
• Consistent batch: If you join an offline class, we will keep you to that format and not change it to an online batch in the middle of the batch.

How Does the SevenMentor Ecosystem Prepare You for Modern, Cross-Functional Tech Integrations?

A data engineer of today is not an island; his or her pipeline does not live in isolation from the rest of a large IT system, including a backend system, a business intelligence tool, cloud and network, and other artificial intelligence / intelligent systems. Our Data Engineering Course forms a large part of the IT ecosystem of industries; this is why our student learns the way his/her pipeline outputs are used by other key departments of industries to carry out their functions and add value.

Whether you opt for a Data Engineering Classroom Training program or opt for a Data Engineering Online Course, our training program will make you a complete master of end-to-end tech stacks, i.e., how data engineering is related to the industry's most important domains such as

• Data Science & Analytics: Build a data engineering pipeline for data-driven web applications and optimize data engineering infrastructure for maximum analytics capability to gather insights on user behavior and application performance.
• Core Backend Development: Our Data Engineering Course trains you to master not only Python (the most popular language for backend development and automation) but also other languages such as Java (widely used for development of web applications for enterprises).
• Cloud Computing & DevOps: Build scalable cloud-based applications using cloud computing. Leverage DevOps methodologies for continuous integration and automated deployment (CI/CD) using data engineering-developed pipelines.
• Generative AI & Intelligent Systems: Design data architecture to support advanced Generative AI & AI courses to develop Intelligent Applications & Intelligent Systems and include a custom ChatGPT course to build AI-powered chatbots.
• Enterprise Solutions & CRMs: Design data architecture for very heavy corporate data and integrate with existing SAP systems or design a pipeline to feed data to web applications such as Salesforce for CRM-based web solutions.
• Data Visualization & Security: Clean data to create visualization reports on Power BI and secure web applications by implementing corresponding data streams and cybersecurity practices.

Got Questions? Here Are Some FAQs

Q1. What is a Data Engineering Course?

A Data Engineering Course is designed to teach you how to gather, process, store, and manage very large amounts of data using SQL, Python and more tools such as Hadoop, Apache Spark and running these data engineering applications on cloud platforms.

Q2. Who can join a Data Engineering Course?

Anyone with interest in data and technology can join a Data Engineering Course. This includes: Freshers, Graduates, Software Developers, Data Analysts and IT Professionals from a variety of industries.

Q3. What skills will I learn in a Data Engineering Course?

data pipelines, database management, ETL processes, SQL, Python programming, big data technologies and cloud-based data solutions.

Q4. What are the career opportunities after completing a Data Engineering Course?

Data Engineer, Big Data Engineer, ETL Developer, Data Architect, Cloud Data Engineer.

Q5. Is Data Engineering a good career choice?

No. Data Engineering is a very demanded area. High salaries are being paid in this area. Many areas work with data. Therefore, also a lot of opportunities.

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