Data Engineer

2 weeks ago


Center District, Israel NAYA Technologies (part of EPAM Systems, Inc.) Full time ₪90,000 - ₪120,000 per year

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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