Data Engineer
2 weeks ago
We are
NAYA Technologies
.
We are a leading global provider of data platform and development professional services.
We are proud to be one of the fastest-growing data and development technology companies worldwide, based in Israel — and we're hiring.
We are looking for a skilled and motivated
Data Engineer
to join our growing data team.
About the Role
We are looking for a
Senior Data Engineer
with strong expertise in building and scaling modern
data pipelines
. You'll work with cutting-edge cloud technologies and Databricks to deliver high-quality, reliable, and performant data solutions.
Responsibilities
- Design, build, and maintain
scalable data pipelines
to process large and complex datasets. - Implement data workflows using
Databricks
and cloud-native tools. - Ensure data reliability, quality, and performance across the pipeline lifecycle.
- Work closely with other departments to provide high-quality, business-ready data solutions.
- Optimize pipeline performance and cost in
public cloud environments (AWS, Azure, GCP)
. - Contribute to data architecture decisions and best practices in pipeline orchestration.
Requirements
- 5+ years of experience
as a Data Engineer. - Proven hands-on experience with
Databricks
. - Strong proficiency in
Python
and
SQL
(complex queries, optimization). - Experience working in a
public cloud environment
(AWS, Azure, or GCP). - Solid understanding of
data pipeline design, orchestration, and monitoring
.
Nice to Have
- Experience with
Apache Spark
. - Familiarity with orchestration tools (Airflow, Prefect, Dagster).
- Knowledge of CI/CD practices and containerized environments (Docker, Kubernetes).
- Understanding of
data lakehouse
or modern data warehouse architectures.
Why Join Us?
- Build mission-critical data pipelines using the latest technologies.
- Work in a collaborative, cloud-first environment.
- Opportunity to influence data engineering strategy and architecture.
-
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