Who is a Data Engineer?
As businesses across the globe are enthusiastically adapting the data-driven strategies to optimize their decisions, the demand of highly skilled Data Engineers has increased manifold. A skilled person who is able to convert the raw data into a self-explanatory form to analyze the trends by developing requisite algorithms is a Data Engineer.
The entire task of Data Mining, maintaining and extracting trends from different data sets in an organization is completed by a team of Data Engineers. Ultimately, the Data Engineers provide reliable infrastructure to maintain big data.
Skills required to be a Data Engineer
A Data Engineer must have deep understanding of SQL, Extract Transform Load, Apache Hadoop, in depth knowledge of Python, Java, Scala, Kafka, hive, storm and many more.
Enterprises now a days prefer the employees with the experience of working on the cloud platforms like Amazon Web Services etc. Sound knowledge of Data warehousing and Data modelling is also given a lot of preference these days.
The required skills and preferences may affect the salary of an Data Engineer by 10%-15%.
A Data Engineer deals in Big Data, the person should be proficient in the documentation skills and must also be good in his/her verbal and Non-verbal communication skills.
How to Become a Data Engineer?
Applied Mathematicians, Engineers, People holding Bachelor’s degree in Computer Sciences or related IT field find it easier to become a Data Engineer. The aspiring candidates then go for a Big Data certification course to have in depth understanding of required technological skills to be a Data Engineer.
Roles and Responsibilities of a Data Engineer
The generic tasks that a Data Engineer has to perform include:
- Aggregation and Analysis of given data sets
- Development of Dashboards and reports
- Development of tools for business professionals
- Providing improved techniques to access the Big Data
Three main domains in which a Data Engineer works are: Generalist, Pipeline centric, Database-Centric Generalists are the Data Engineers who processes, manages and analyses the data.
Pipe-line centric Data Engineers work in coherence with Data Scientists to utilize their collected Data. Database-centric Data Engineers manages the Data-flow and database analytics.
Along with the technical skills, a Data Engineers must have some soft skills as well to communicate their analysis. Some of the key responsibilities are:
- Acquisition of Data
- To match their development constantly with the business requirements
- Consistent improvement in the data reliability, efficiency and Data Quality
- Development of predictive and prescriptive modelling
The key responsibilities vary from organization to organization.
Data Engineer: Employers and Salaries
Some of the top companies where Data Engineers are highly paid are:
- com Inc
- Tata Consultancy Services Limited
- IBM Private Limited
- General Electric (GE) Co
- Hewlett-Packard
Factors affecting Salaries of Data Engineers
Experience:
| Average Experience as a Data Engineer | Average Pay-Scale based only on Experience |
| Entry level | ₹400,000 approx. |
| 1-4 years | ₹739,916 based on 317 salaries |
| 5-9 years | ₹1,227,921 based on 179 salaries |
| 10-19 years | ₹1,525,827 based on 49 salaries |
Job Location:
The Data Engineers working in the prime locations like Gurgaon (Haryana) earns 27.3% more average salary, in Hyderabad (Andhra Pradesh) 13.7% more average salary, in Bangalore (Karnataka) 12.5% more average salary than in locations across the nation.
The average salary of a Data Engineer in Mumbai, New Delhi and Chennai are relatively lesser than average salary across the nation.
