Site reliability engineer

2 weeks ago


Gurgaon, India Gemini Solutions Pvt Ltd Full time

W e are looking for 3-9 yrs experience candidate in Devops SRE , In this you will play a crucial part in shaping the firm's infrastructure reliability and efficiency by implementing robust Site Reliability Engineering practices. Your contribution will be pivotal in ensuring the availability, scalability, and performance of our systems and applications. Leveraging your strong technical skills and expertise in Dev Ops principles, you will work towards enhancing the reliability of our infrastructure and minimizing downtime, thus enabling the organization to deliver high-quality software with maximum efficiency. EXPERIENCE AND REQUIRED SKILL SETS Experience in Data Engineering Operations: Proven experience in monitoring, maintaining, and troubleshooting data engineering systems and data pipelines, including data ingestion processes. Data Pipelines & ETL Systems: Experience working with data pipelines and ETL systems (e.g., Informatica, Apache Airflow, AWS Glue). Understanding of the complete data lifecycle from ingestion to transformation and storage. Monitoring & Alerting: Strong experience in setting up monitoring and alerting for data pipelines, using tools such as Prometheus, Grafana, AWS Cloud Watch, Datadog, Splunk or similar tools. Data Quality Frameworks: Experience in implementing and maintaining data quality checks, ensuring data integrity across ingestion pipelines and downstream systems. Development Mindset: A strong background in Python development, with the ability to write scripts for automation, monitoring, and troubleshooting. Familiarity with Python libraries such as Pandas, Num Py, or Py Spark for processing and validating data is a plus. Incident Management & Troubleshooting: Expertise in incident response, root cause analysis (RCA), and managing production issues. Ability to diagnose and resolve issues in a timely manner. Cloud Platforms (AWS): Familiarity with AWS-based data platforms and services (e.g., AWS S3, Redshift, Lambda, RDS). Experience with cloud monitoring tools is a plus. Automation & Scripting: Proficient in automating operational processes using Python, or other scripting languages. Version Control & CI/CD: Experience with Git for version control and CI/CD pipelines for automated testing and deployment of monitoring and operational scripts. EDUCATION Bachelor’s degree or master’s in computer science, Engineering, Software Engineering or a relevant field



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