BI/ETL Data Engineer (Support Engineer) - Full Time - 100% Remote - DBT Experience Required

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 , strong 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 .