What would you do here?

• Monitor and maintain data platforms, databases, and data pipelines to ensure optimal performance and reliability.
• Troubleshoot and resolve data-related issues, such as performance bottlenecks, data inconsistencies, and data quality problems.
• Implement and maintain monitoring, alerting, and logging systems to proactively identify and address data-related issues.
• Liaison with engineering teams for RCA's(Root Cause Analysis), permanent resolutions on issues affecting production sites.
• Collaborate with the data Engineering team to maintain data pipelines and workflows.
• Assist in capacity planning and optimization of data storage and processing resources.
• Collaborate with data engineering and data science teams to understand their requirements and provide guidance on data infrastructure and best practices.
• Participate in incident response, root cause analysis, and post-incident reviews to continuously improve system reliability and performance.
• Stay updated with the latest industry trends, technologies, and best practices related to data infrastructure and operations.

What are we looking for?

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong understanding of data concepts, relational databases, and SQL.
• Familiarity with data infrastructure technologies such as data warehouses, data lakes, ETL/ELT processes, and streaming platforms.
• Proficiency in scripting or programming languages such as Python, Perl, or Java.
• Experience with any one of the ETL tools such as Nifi, Airflow, and Debezium is a must. 
• Experience with cloud platforms (e.g AWS, Azure, GCP) and containerization (e.g Docker, Kubernetes) and datawarehouse (e.g., Redshift) are a plus.
• Knowledge of monitoring and observability tools for data systems (e.g. Prometheus, Grafana, ELK stack) is beneficial.
• Experience with version control and CICD tools like Git and Jenkins is preferred. 
• Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
• Strong communication skills to effectively collaborate with technical and non-technical stakeholders.