Jr BI Operations Engineer

Logitech; Chennai District; On-site; INR 600,000 - 900,000; Full time

Job summary

Logitech in India is seeking a Junior BI Operations Engineer to assist in monitoring, maintaining, and reporting for 24x7 Enterprise BI operations and schedules. You will support incident management, ensure smooth execution of daily ETL pipelines, and help enable data across the enterprise for reporting.

This role operates on a shift system as part of our global BI Operations team. It is ideal for an early-career engineer looking to build expertise in data warehousing, automated ETL operations,

Qualifications

• 1–3 years experience in BI, Data Operations, L1/L2 Support, or Data Engineering.
• Foundational to working SQL, PL/SQL, and relational database concepts.
• Understanding of data warehousing concepts (dim modeling, staging, star schema).
• Programming with Python and Unix/Linux Shell for automation.
• GitHub or Git workflows for version control.
• AI LLMs: basic knowledge of AI tools for debugging, scripting, or log analysis.
• Exposure to Snowflake Cloud Data Platform.
• Experience with ETL tools and schedulers like Airflow, Control-M, Autosys.

Responsibilities

• Monitor and report on 24x7 Enterprise BI operations and ETL pipelines.
• Provide L1 support for users and investigate alerts or job failures.
• Develop and maintain ETL scheduling runbooks with statistics and steps.
• Participate in knowledge transfers with Data Engineering and Development teams.
• Assist automation of routine checks using Python and shell scripting; use GitHub for version control.
• Leverage AI tools for log analysis, query optimization, and documentation.

Skills

BI Operations

Data Operations

L1/L2 Support

Data Engineering

SQL

Python

Unix/Linux Shell

GitHub

AI LLMs

SnowflakeDB

Education

Bachelor's or Master's Degree in CS/IS/Data Analytics or related field

Tools

Pentaho Data Integration

Talend

Informatica

Airflow

Control-M

Autosys

Jira

ServiceNow

Job description

Job Summary

The Junior BI Operations Engineer will assist in monitoring, maintaining, and reporting for 24x7 Enterprise BI operations and schedules. Working under the guidance of senior team members, you will support incident and problem management, ensure smooth execution of daily ETL pipelines, and help enable data across the enterprise for reporting.

This role operates on a shift system as part of our global 24x7 BI Operations team. It is an ideal position for an early-career engineer looking to build deep expertise in data warehousing, automated ETL operations, Python scripting, and AI-driven workflows.

Your Contribution

Move fast. Speak up. Decide and own. Drive change. Exceed customer needs. These are some of the winning behaviors you ll need for success. In this role, you will:

• 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.

Key Qualifications

• 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 (eg, 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 (eg, 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 (eg, Pentaho Data Integration, Talend, Informatica) and job schedulers (eg, 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.

Preferable Skills

• Hands-on experience with Pentaho Data Integration (PDI) scheduling.
• Basic understanding of CI/CD concepts applied to data pipelines.
• Familiarity with ticketing tools like Jira, ServiceNow, or similar ITSM platforms.

Education

• Bachelor's or Master's Degree in Computer Science, Information Systems, Data Analytics, or a related technical field (or equivalent practical industry experience).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.