How much salary can I expect as a Data Reliability 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 Data Reliability 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?

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

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Data Reliability Engineer

Infosys

Data Reliability Engineer

Infosys

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

Data Reliability Engineer

5–8 years of experience in Data Engineering, Platform Engineering, or SRE roles Strong understanding of data pipeline reliability concepts Hands-on experience with modern data stacks such as: Cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse) Data lakes (ADLS, S3, GCS) Experience with ETL / orchestration tools: Airflow, ADF, dbt, Informatica, or similar Strong SQL and debugging skills Experience with monitoring, alerting, and observability tools Knowledge of Linux/Unix systems Data Platform Reliability Ensure high availability, performance, and reliability of data pipelines and platforms Monitor and maintain SLAs, SLOs, and SLIs for data systems Reduce data downtime, failures, and data quality incidents Implement proactive monitoring and alerting for data pipelines Observability & Monitoring Build and maintain monitoring, logging, and alerting for data workflows Track pipeline success/failure rates, latency, freshness, and volume Implement observability for batch and streaming data systems