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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה

We are looking for an experienced data Engineering Tech Lead to join our team and make a real impact! In this hands-on role, you will drive the architecture, development, and optimization of our data infrastructure, ensuring scalable and high-performance data solutions that support analytics, AI, and business intelligence needs. You will collaborate closely with analysts, Product, DevOps, and software engineers to cultivate a robust data ecosystem. This position will report to the CISO and can be based out of Jerusalem or Tel-Aviv.

What you will be responsible for:

* Lead the design and implementation and maintenance of our DWH & data Lake architecture to support both analytical and operational use cases.
* Develop scalable ETL /ELT pipelines for ingestion, transformation, and optimization of structured and unstructured data.
* Ensure data quality, governance, and security throughout the entire data lifecycle.
* Optimize performance and cost-efficiency of data Storage, processing, and retrieval.
* Work closely with BI and analytics teams to guarantee seamless data integration with visualization tools.
* Collaborate with stakeholders ( BI teams, Product, and Engineering) to align data infrastructure with business needs.
* Mentor and guide analysts, fostering a culture of best practices and professionalism.
* Stay updated with industry trends and evaluate new technologies for continuous improvement.

Requirements:
To be a data Engineering Tech Lead at Fullpath you need to have:
* 5+ years of experience in data engineering, with at least 2-3 years experience in a Tech Lead role.
* At least 3 years of hands-on experience with AWS, including services like S3, Redshift, Glue, Athena, Lambda, and RDS.
* Expertise in DWH & data Lake architectures, including columnar databases, data partitioning, and lakehouse concepts.
* Strong experience with cloud data solutions like Redshift, Snowflake, BigQuery, or Databricks.
* Proficiency in ETL /ELT tools (e.g., dbt, Apache Airflow, Glue, Dataflow).
* Deep knowledge of SQL & Python for data processing and transformation.
* Experience working with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
* Experience with Real-Time data streaming (Kafka, Kinesis, Pub/Sub) and batch processing.
* Understanding of data modeling (Star/Snowflake), data governance, and security best pra

This position is open to all candidates.