Responsibilities of the Candidate:

- Operations & Monitoring: Assist in daily 24x7 monitoring and operational reporting for ETL/ELT data pipelines and BI systems. - Incident Management: Serve as 1st-level (L1) support for business users and applications—investigating, triaging, and resolving basic system alerts or job failures. - ETL Scheduling & Runbooks: Help prepare and maintain job scheduling modules; document and update runbooks with runtime statistics and operational steps. - Knowledge Transfer: Participate in KT sessions with Data Engineering and Development teams for seamless handovers to the Ops environment. - Automation & Scripting: Support the automation of routine operational checks using Python, Shell scripting, and version control best practices via GitHub. - AI-Assisted Operations: Leverage modern AI and LLM tools to assist in log analysis, query optimization, bug fixing, and process documentation. - Communication: Bridge technical issues with non-technical business users with clear verbal and written communication.

Requirements:

- Experience: 1 to 3 years of relevant experience in BI, Data Operations, L1/L2 Support, or Data Engineering. - Database & SQL: Foundational to working knowledge of SQL, PL/SQL, and relational database concepts. - Data Warehousing: Basic understanding of data warehousing concepts (e.g., dimensional modeling, staging, star schema). - Scripting & Programming: Hands-on experience or working knowledge of Python and Unix/Linux Shell scripting for automation tasks. - Version Control: Familiarity with GitHub or Git workflows for code repository management and version tracking. - AI & LLMs: Basic knowledge or practical exposure to AI & Large Language Model (LLM) tools (e.g., using LLM assistants for code debugging, prompt-assisted scripting, or log pattern detection). - Cloud & Snowflake: Exposure to or working knowledge of cloud data platforms like Snowflake DB. - ETL & Scheduling Tools: Exposure to ETL tools (e.g., Pentaho Data Integration, Talend, Informatica) and job schedulers (e.g., Airflow, Control-M, Autosys). - Support & Analytical Mindset: Strong analytical and troubleshooting skills with a willingness to learn root-cause analysis and bug fixing. - Shift Work: Willingness to work in shifts within a 24x7 operational rotation.