Level 2 Support Engineer - Data and Analytics

Business Architect

Project Role : Business Architect
Project Role Description : Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Translate business needs into technology-enabled solutions and operating models. Support transformation by developing business cases and guiding implementation of key initiatives.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Experience Level 2–5 Years Job Summary We are looking for an L2 Support Engineer with 2–5 years of experience to support and enhance data and analytics platforms in a production environment. This is a hybrid role combining hands-on production support with development and automation responsibilities. The role is ideal for someone who enjoys troubleshooting production issues and is eager to learn and grow into data engineering and analytics technologies. Key Responsibilities Production Support (L2) Provide Level 2 support for data and analytics applications in production Investigate and resolve incidents related to data pipelines, dashboards, reports, and backend services Perform root-cause analysis (RCA) and implement corrective fixes Handle escalations from L1 support and collaborate with senior engineers on complex issues Development & Automation Write and maintain Python scripts (intermediate level) for automation, monitoring, and data validation Develop and optimize advanced SQL queries for investigations and production fixes Implement small-to-medium code changes to resolve recurring issues Identify opportunities to reduce manual effort through automation Data, BI & Analytics Support Support and troubleshoot analytics dashboards and reporting solutions Validate data accuracy and consistency across analytics layers Assist with ad-hoc data analysis and investigations Work closely with analytics and data engineering teams Cloud & Data Pipeline Exposure Support data workflows in cloud environments Monitor and troubleshoot data pipelines and scheduled jobs Assist with environment configurations and deployments Documentation & Collaboration Maintain runbooks, SOPs, and support documentation Participate in incident reviews and continuous improvement initiatives Communicate clearly with stakeholders during issue resolution Required Skills & Experience Must Have 2–3 years of experience in application support, data support, or support engineering roles Advanced SQL with hands-on experience in complex queries and data analysis Python (Intermediate) – scripting, debugging, and automation Strong troubleshooting, analytical, and communication skills Some working knowledge on Looker, Tableau, Power BI or any other reporting tool Big Plus (Willingness to Learn Expected) Looker – interest in learning and supporting LookML models and dashboards Azure Data Factory (ADF) – willingness to learn pipeline development and troubleshooting Azure Cloud – eagerness to gain hands-on experience with cloud data services Snowflake – openness to learning cloud data warehousing concepts and performance basics Ideal Candidate Profile Early-career engineer motivated to grow into data and analytics engineering Comfortable working across support and development responsibilities Curious, proactive, and eager to learn new tools and technologies Strong sense of ownership and accountability for production systems