Data Engineer
4 days ago
About the Role
We are seeking a highly skilled
Data Engineer
with strong hands-on experience in DBT and Snowflake to design, build, and optimize modern ELT pipelines. The ideal candidate will have solid SQL expertise, a deep understanding of data warehousing best practices, and exposure to telecom domain data. You will work closely with business and technical stakeholders to deliver scalable, reliable, and well-documented data solutions.
Key Responsibilities
- Design, build, and optimize scalable
ELT pipelines
using
DBT
. - Develop
modular, well-documented, and fully tested data models
following DBT best practices. - Collaborate with domain experts to translate business requirements into robust data transformations.
- Ensure
data quality, reliability, and consistency
across multiple data sources. - Implement and monitor
Snowflake
schema design, performance tuning, and cost-efficient usage. - Apply
SQL and data warehousing best practices
to support analytical and operational needs. - Work closely with cross-functional stakeholders including data analysts, architects, and business teams.
- Contribute to continuous improvement of data platforms, standards, and processes.
- Provide clear communication on progress, risks, and solutions.
Required Skills & Experience
- Strong hands-on experience with DBT
in a production environment. - Proven experience with Snowflake
, including schema design, performance optimization, and role-based access control. - Solid understanding of
SQL
and
data warehousing best practices
. - Good understanding of
telecom business models, systems, and data types
. - Familiarity with
ELT tools
and modern data integration patterns. - Exposure to cloud platforms such as
AWS, Azure, and/or GCP
. - Basic understanding or exposure to
BI tools
like Power BI. - Strong problem-solving skills and a
self-driven
mindset. - Excellent communication skills
and the ability to work with diverse stakeholders.
-
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