Tech Mahindra ETLP : Fees , Training Success Guide 2024 – 2025

Tech Mahindra ETLP (Extract, Transform, Load and Process) training program is a comprehensive training course that helps professionals learn the key concepts, techniques and best practices around data warehousing and business intelligence.
Tech Mahindra ETLP
Tech Mahindra ETLP

What skills are covered in the Tech Mahindra ETLP?

The main skills covered in the ETLP training include:
  • Extracting data from various sources like databases, files and applications
  • Transforming and cleansing data to prepare it for analysis
  • Loading transformed data into a data warehouse
  • Processing and analyzing data using tools like SQL, Tableau, Power BI etc.
  • Designing dimensional data models and schemas for data warehousing
  • Implementing ETL workflows and pipelines using tools like Informatica, SSIS etc.
  • Ensuring data quality and governance best practices
  • Working with big data and real-time data integration
Tech Mahindra ETLP
Tech Mahindra ETLP

What is the duration and format of the Tech Mahindra ETLP?

The ETLP training program typically lasts 3-4 weeks and includes:
  • Classroom training with lectures, demonstrations and hands-on exercises
  • Self-paced online learning and assignments
  • Projects to build end-to-end ETL processes and data pipelines
  • Certification at the end to validate the skills learned
The training is conducted in an online, virtual format to make it accessible from any location. Recordings are also provided for reference.

What is the eligibility criteria?

The minimum eligibility for the ETLP training program includes:
  • A Bachelor’s degree in Computer Science, IT or related field
  • 1-3 years of experience in software development or data analysis
  • Basic knowledge of databases, SQL and programming concepts
Prior exposure to data warehousing, ETL tools or BI is preferred but not mandatory. Candidates from non-IT backgrounds can also apply.

What are the career prospects after completing Tech Mahindra ETLP?

Successful candidates will be equipped to take on roles like:
  • ETL Developer
  • Data Integration Engineer
  • Data Warehouse Developer
  • Data Analyst
  • Business Intelligence Developer
They can find jobs in companies’ data warehousing, analytics or BI teams. Pursuing Manhindra’s ETLP certification also improves candidates’ employability in the data and analytics domain.

What is the course fee and how can one apply?

The course fee for Manhindra’s ETLP training program is Rs. 30,000. Several payment options are available.
To apply, candidates need to fill an online application form available on Manhindra’s website. Shortlisted candidates will be contacted for an interview and admission process.

What is the eligibility to get certified in ETLP?

To get certified in ETLP, candidates must complete the full training program, pass all assessments and assignments, and score over 70% in the final certification exam. The certification is valid for 2 years.

What background knowledge is required before joining the ETLP training?

While no prior experience in data warehousing or ETL is required, it helps to have basic knowledge of:

What is the placement assistance provided after certification?

Manhindra assists certified candidates with resume preparation, interview skills training and connects them with hiring partners. The training team also shares regular job openings that candidates can apply for. Several alumni are placed with leading companies within 3-6 months of completing the program.

What is the training approach – is it more theoretical or practical?

The ETLP training strikes a good balance of both theoretical and practical learning. Around 60% of the time is spent on hands-on projects, case studies and exercises while the rest covers concepts, methodologies, best practices and tool demonstrations. Candidates get to build full-fledged ETL systems as part of their assessments.
  • Data warehousing training: Covers dimensional modeling, data architecture design and implementation.
  • ETL training: Focuses on extract, transform and load processes and tools.
  • SQL training: Teaches structured query language for querying and analyzing data.
  • Data modeling training: Includes logical and physical data modeling techniques.
  • SSIS training: Helps learn and work with SQL Server Integration Services.
  • Informatica training: Training on the popular Informatica ETL tool.

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