Data Engineer
15 hours ago
About the Role:
We are looking for a highly skilled
Data Engineer / Analytics Engineer
to design, develop, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in
Python, Advanced SQL, DBT, and Snowflake
, with a passion for building efficient and reliable data infrastructure that supports business intelligence and analytics needs.
Key Responsibilities:
- Design, develop, and maintain robust
data pipelines
using
Python
,
DBT
, and
Snowflake
. - Write and optimize complex
SQL queries
for data extraction, transformation, and analysis. - Implement and manage
data models
in Snowflake to support reporting and analytical workloads. - Collaborate with
data analysts, data scientists, and business stakeholders
to understand data requirements and deliver high-quality data solutions. - Ensure
data quality, integrity, and performance optimization
across all data systems. - Develop and maintain
DBT models
with modular, testable, and version-controlled transformations. - Automate and monitor data workflows using
modern orchestration tools
(e.g., Airflow, Prefect). - Support
data governance and documentation
best practices.
Required Skills and Qualifications:
- 4+ years of experience as a
Data Engineer
or
Analytics Engineer
. - Strong proficiency in
Python
for data processing and automation. - Expertise in
Advanced SQL
(CTEs, window functions, performance tuning). - Hands-on experience with
DBT (Data Build Tool)
for data transformations. - Solid experience with
Snowflake
(data modeling, warehouse design, performance optimization). - Experience working with
cloud data platforms
(AWS, GCP, or Azure). - Strong understanding of
ETL/ELT processes
and data lifecycle management. - Excellent problem-solving and communication skills.
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