Full time Internship Training
Data Engineer:
A data engineer designs, builds, and maintains the infrastructure and pipelines that allow organizations to collect, store, and analyze data. They are responsible for creating systems that transform raw data into usable information for data scientists, analysts, and other stakeholders. Essentially, data engineers ensure data is accessible, reliable, and efficient for various business needs.
Building and Maintaining Data Pipelines:
Data engineers create the systems that move data from various sources into data warehouses or other storage solutions. This includes designing, developing, and optimizing ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes.
- Designing and Managing Data Storage:They choose the appropriate storage solutions (e.g., relational databases, NoSQL databases, cloud storage) based on data volume, velocity, and variety.
- Ensuring Data Quality and Reliability:Data engineers implement measures to ensure data accuracy, consistency, and completeness.
- Collaborating with Stakeholders:They work closely with data scientists, business analysts, and other teams to understand data requirements and ensure the data infrastructure supports their needs.
- Optimizing Data Systems:Data engineers continuously work to improve the performance, scalability, and security of data systems.
- Programming Languages: Proficiency in languages like Python, Java, and Scala is crucial.
- Databases:Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases is essential.
- Cloud Computing:Familiarity with cloud platforms like AWS, Azure, or Google Cloud is increasingly important.
- ETL/ELT Processes:Understanding and experience with ETL/ELT tools and techniques is fundamental.
- Data Warehousing:Knowledge of data warehousing concepts and technologies.
- Data Modeling:Ability to design and implement data models to organize and structure data effectively.
- Big Data Technologies:Experience with tools and technologies for handling large datasets (e.g., Spark, Hadoop) is often required.
- Problem-solving and Analytical Skills:Data engineers need to be able to troubleshoot issues, analyze data, and identify opportunities for improvement.
- Communication Skills:They need to effectively communicate with technical and non-technical stakeholders.
In essence, data engineers bridge the gap between raw data and actionable insights, playing a vital role in helping organizations leverage their data assets for informed decision-making.
AI data engineers are data engineers that are responsible for developing and managing data pipelines that support AI and GenAI data products. Their work bridges traditional data engineering with the specific requirements of artificial intelligence applications, ensuring models receive the high-quality data necessary for optimal performance.
These include several tools and frameworks for developing and deploying AI models, including Python, TensorFlow, PyTorch, Keras, as well as LLM-specific tools like Hugging Face Transformers, LangChain, and vector database systems such as Pinecone, Weaviate, and Milvus for efficient similarity search and retrieval.
- Any degree graduates can apply.
- Must have passed out from 2018 – 2025 graduates and Percentage is not mandatory.
- Must agree with the company terms and conditions to act professionally and develop the career.
- Must be able to work anywhere in Karnataka companies in top or reputed companies in every district.
- Fresher Level – (0-1 Year): Min 5,00,000 lakhs per year – 6,00,000 lakhs per year
- Mid-Level – (1 – 3 year): Min 6,00,000 lakhs per year – 9,00,000 lakhs per year
- Senior Level – (3 – 6 year): Min 9,00,000 lakhs per year – 12,00,000 lakhs per year
Internship Training Hrs./Day: 8 hrs./day (Morning – 4 hrs. & Evening – 4hrs.)
Days in a week: Monday, Tuesday, Thursday & Friday
Mock Interviews (By MNC companies Staff): Every Wednesday & Saturday: Min 20 mins – Max 30 mins
Mock Aptitude & Coding tests: Wednesday & Saturday: Min 1 hr. – Max 2 hrs.
Recap of the Training Sessions: Wednesday: 3hrs/day
Internship Practical Training Mode: Online Virtual
* Trainee must have a high-end internet connection during the training period, attend the internship training and present the min 90 % of whole attendance, follow the strict discipline during the training period, complete the practice, assignments and must be updated on time to develop the skills, pass the exams and mock interviews with a percentage of 90% to clear the main four interviews.
* Trainee should be well behaved at all the activities and become a professional at the end of the training.
* Trainees will be selected easily and must join after receiving the joining letter from the company.
Internship Training Fees: INR 60,000 Inclusive 18% GST
Payment Options:
Option 1: Without Educational Loan
Installment 1: Down payment of 20%: INR 12,000 at the time of enrollment
Installment 2: 50% of the remaining balance during 1st week of Internship Training: INR 24,000
Installment 3: Within 21 days from the date of second installment: INR 24,000
No Cash Accepted, Only Company Transaction online payment.
Option 2: With Educational Loan
Apply for the Bajaj Finance in educational training loan process and must have a minimum credit score of 700+ to get approval for the 80% amount of INR 48,000.
Once Approved, Down payment of 20%: INR 12,000 at the time of enrollment and loan processed amount is credited to the company account.
You need to repay back the loan amount in 8 months for a monthly EMI of INR 6,000/month.
Once the payment is done, Invoice GST will be shared to you.
Client Hiring Details:
- We’re associated with fortune 500 companies and the interviews will be scheduled immediately after completion of the training within a week.
- With over 15 mock interview calls with MNC staff, you’ll ease the interviewer and grab the opportunity to work at high scale in reputed companies.