How much salary can I expect as a Data Engineer in Pradeepit Global Consulting Private Limited in Bengaluru/Bangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Data Engineer in Pradeepit Global Consulting Private Limited in Bengaluru/Bangalore?

The candidate should have completed the required education and people who have 5 to 8 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Bengaluru/Bangalore at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

How can I apply for this job?

Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

What is the last date to apply?

The last date to apply for this job is . For more details, download apna app and find Full Time jobs in Bengaluru/Bangalore . Through apna, you can find jobs in 64 cities across India. Join NOW!

Data Engineer

Pradeepit Global Consulting Private Limited

Data Engineer

Pradeepit Global Consulting Private Limited

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

Data Engineer

Job Description

Years of Experience:5 to 8Years

Duration: 3 Months and further extendable

Working shift timing: 7:30 am - 4:30 pm IST

Selection Process: 2 rounds

Experience in ETL tools, data warehouse design, data modeling, and visualization
Proficient knowledge of SQL and Relational Database: able to write, execute, and interpret queries
Hands-on experience with Python scripting for data analysis
Familiar with AWS stack, especially ETL/Data services such as Glue, Redshift, DMS
and workflow management platforms such as Airflow
Familiar with BI reporting tools such as PowerBI, Data Studio etc.