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Tech Mahindra - Azure Data Engineer - ETL (3-7 yrs)

3-7 years

Tech Mahindra - Azure Data Engineer - ETL (3-7 yrs)

Tech Mahindra

posted 1mon ago

Job Role Insights

Flexible timing

Job Description

Primary Skills : Azure Data Engineer / Senior Azure Data Engineer

Experience : 3-7 years

Notice Period : Immediate Joiners - 30 Days

Location : Bangalore, Pune, Chennai, Noida

Work shifts : 5 days' work from Office

- Should be ready to work in afternoon shift (2 pm IST to 11 pm IST) and WFO (as per TechM policy).

- Bachelor's degree in computer science, Computer Engineering, or related technical discipline.

- 4+ years of IT experience and must have worked in DW project for at least 3 years

- Worked in atleast 3 Data Warehousing projects by contributing in developing ETL solution.

- Proficient with Python, Pyspark for data manipulation, analysis, and extraction

- Advance SQL : Should be very strong understanding of Database & Data Modelling. Must posses hands-on experience in writing complex SQLs

- Azure Data Factory (ADF) : A key service for data integration and orchestration. Should know how to create data pipelines, schedule activities, and manage data movement and transformation using ADF

- Azure Databricks : A cloud-based big data analytics platform based on Apache Spark. Should be adept at using Databricks for data engineering tasks like data ingestion, transformation, and analysis

- Azure SQL Database : Microsoft's fully managed relational database service. Should be proficient in using it for data storage, retrieval, and basic manipulation.

- Azure DevOps : Knowledge of Azure DevOps is valuable for implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines for data engineering solutions

- Monitoring and Optimization : Understanding how to monitor the performance of data engineering solutions and optimize them for better efficiency is crucial

- Data Quality and Data Cleaning : Knowing how to ensure data quality and perform data cleaning operations to maintain reliable data is important for data engineers.

- Data Modeling and ETL/ELT : You should be skilled in data modeling techniques and Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes for data integration.

- Good to have Apache Spark : Understanding of Spark and its various components. Spark is a fast and general-purpose data processing engine that can run in-memory, making it well-suited for iterative algorithms and interactive data analysis.


Functional Areas: Other

Read full job description

Tech Mahindra Interview Questions & Tips

Prepare for Tech Mahindra Azure Data Engineer roles with real interview advice

Top Tech Mahindra Azure Data Engineer Interview Questions

Q1. Tell me something about yourself. Define encapsulation. What is inheritance. What is constructor. What is method overloading. Can we overloa ... read more
Q2. Factorial Calculation Problem Given an integer N , calculate and print the factorial of N . The factorial of a number N is defined as the p ... read more
Q3. If the customer is not satisfied with your answer so what will you do to satisfied him with your answer?
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What people at Tech Mahindra are saying

2.7
 Rating based on 12 Azure Data Engineer reviews

Likes

Coworkers were helpful

  • Skill development - Good
  • +2 more
Dislikes

No Salary hike, no project

  • Promotions - Poor
  • +1 more
Read 12 Azure Data Engineer reviews

Azure Data Engineer salary at Tech Mahindra

reported by 254 employees with 2-6 years exp.
₹3.2 L/yr - ₹11 L/yr
20% less than the average Azure Data Engineer Salary in India
View more details

What Tech Mahindra employees are saying about work life

based on 35.3k employees
62%
56%
64%
81%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Tech Mahindra Benefits

Submitted by Company
Diversity and Inclusion
Parental Care Leave
Paid Time Off & Public Holiday
Work From Home
Advance Leave
Bereavement Leave +1 more
Submitted by Employees
Cafeteria
Work From Home
Job Training
Soft Skill Training
Health Insurance
Gymnasium +6 more
View more benefits

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Tech Mahindra Noida Office Locations

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Noida Office
A - 6, Sector - 64, Noida 201301 (Uttar Pradesh) India Noida
201301
Noida Office
A - 20, Sector - 60, Noida - 201301 (Uttar Pradesh) India Noida
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