Data Reliability Engineer
InfosysJob 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 systemsJob role
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ApnatimeYou can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.
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.
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