How much salary can I expect as a Lead Data Engineer in Infosys 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 Lead Data Engineer in Infosys 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!

Lead Data Engineer

Infosys

Lead Data Engineer

Infosys

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

Data Engineering Lead

Minimum Qualifications: - Bachelor's degree in Technology (Btech) or a related field. - Proven experience (5-8 years) in data engineering with a strong focus on Python and ETL processes. - Proficiency in SQL for data manipulation and querying. Preferred Qualifications: - Experience in leading data engineering projects and teams. - Strong analytical and problem-solving skills with a focus on data-driven decision making. - Familiarity with cloud platforms and big data technologies. - Excellent communication skills for effective collaboration with stakeholders. - Ability to adapt to new technologies and continuously improve data engineering practices. Good to have skills: Flask, Pandas, Data Analysis, Cloud Platforms, Big Data Technologies - Lead the design, development, and implementation of ETL processes to ensure efficient data flow and integration. - Utilize Python to build robust data pipelines and automate data processing tasks. - Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. - Optimize and maintain existing data architectures for scalability and performance. - Ensure data quality and integrity through rigorous testing and validation processes.