About the Role

We are seeking a BI/ETL Data Engineer (Support Engineer) to support our Client by managing data pipelines, developing analytic assets, and ensuring smooth production operations. The ideal candidate will have 8+ years of experience in BI/ETL, robust problem-solving skills, and the ability to work in a fast-paced environment. Data Build Tool (DBT) experience is required for this role.

Key Responsibilities

1. Data Pipeline Development & Support

- Develop, maintain, and optimize ETL/ELT pipelines for data processing and analytics.
- Support production data pipelines to ensure smooth data flow and transformation.
- Monitor, troubleshoot, and resolve issues in real-time while adhering to SLA standards.
- Implement continuous improvements to enhance pipeline efficiency and reliability.

2. BI & Data Visualization Support

- Design and develop data models to support BI and analytics reporting.
- Work with visualization tools like Tableau and other BI platforms to create insightful dashboards.
- Ensure data completeness, accuracy, and performance across reporting environments.

3. Database & Infrastructure Management

- Support and manage data warehouses and cloud-based platforms (e.g., Snowflake, AWS, Azure, or Google Cloud).
- Ensure data security and compliance with organizational and industry standards.
- Collaborate with DBAs and Data Architects to optimize database performance.

4. Agile Project Execution & Documentation





- Work closely with the team to align data solutions with business requirements.
- Follow Agile methodologies for sprint planning, backlog tracking, and iterative development.
- Document technical specifications, data models, and system architecture for knowledge sharing.

Required Qualifications

- 8+ years of experience in BI, ETL, and Data Engineering.
- Experience with DBT (Data Build Tool) is required.
- Expertise in SQL, ETL tools (e.g., Fivetran, Attunity), and data transformation frameworks.
- Strong knowledge of data warehousing concepts and cloud data platforms (Snowflake preferred).
- Familiarity with BI tools such as Tableau and data modeling best practices.
- Experience working in a production support environment with 24/7 availability (preferred).
- Ability to troubleshoot, optimize, and enhance ETL processes for efficiency.
- Excellent communication and collaboration skills for cross-functional teams.

Preferred Qualifications

- Familiarity with Jira or other ITSM tools for incident tracking and resolution.
- Knowledge of CI/CD pipelines, GitHub, and DevOps best practices.

Work Schedule & Expectations

- Shift: Normal India Day shift (with some weekend on call requirements).
- Participate in daily/weekly status updates with the team.
- Collaborate with onshore and offshore teams to ensure seamless support.
- Be available for on-call escalation as needed.

📌 BI/ETL Data Engineer (Support Engineer) - Full Time - 100% Remote - DBT Experience Required (India)
🏢 CrowdPlat
📍 India