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
.
- Robust knowledge of
data ware

📌 BI/ETL Data Engineer (India)
🏢 CrowdPlat
📍 India