. The ideal candidate will have strong expertise in
dbt
,
AWS
,
Airflow
,
Python
, and advanced
SQL
. You will play a key role in building, automating, and optimizing data pipelines to ensure high performance and reliability in a modern, cloud-based data ecosystem.
Key Responsibilities
Design, develop, and maintain
data pipelines
and transformation workflows using
dbt
and
Airflow
.
Develop and optimize complex
SQL
queries for data extraction, transformation, and analytics.
Lead and support
data migration
initiatives to
Snowflake
within an
AWS
environment.
Collaborate with architects, analysts, and business teams to ensure alignment on data requirements.
Implement
data quality
, lineage, and performance monitoring standards.
Leverage
Python
for data automation, validation, and process orchestration.
Contribute to continuous improvement and DevOps practices within the data engineering environment.
Skills & Experience Required
5+ years of professional experience as a
Data Engineer
.
Proven hands-on experience with
Snowflake
,
dbt
,
AWS
,
Airflow
, and
Python
.
Advanced
SQL
development and optimization skills.
Strong understanding of
ETL/ELT
,
data modeling
, and
data warehousing
principles.
Familiarity with CI/CD pipelines, version control (Git), and infrastructure as code.
Experience with
cloud-based architecture
and modern data stacks.
Strong analytical thinking and problem-solving ability.
Preferred Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field.
Certifications in
AWS
,
Snowflake
, or
dbt
are advantageous.
Experience with containerization (Docker, Kubernetes) is a plus.
In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent*
If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.*
Skills
==========
Data EngineeringAWSPythonExtract Transform Load (ETL)CI/CDSQL
Industries
==============
LogisticsTransport
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