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

Data Analytics Engineer

G-Stat

תל אביב - יפו

Data Analytics Engineer

G-Stat

תל אביב - יפו
מלאה
25,000-35,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company. Your responsibilities will include designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources. You will maintain and optimize our data warehouse and build data models to ensure scalability, reliability, and performance. Additionally, you will develop and maintain ETL/ELT workflows, monitor and troubleshoot data quality, pipeline failures, and performance issues, and contribute to automating manual processes and improving data reliability and efficiency. Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement will also be part of your role.

3+ years of experience in a data engineering role, with a proven track record of building and managing data pipelines and infrastructure.

Good understanding of data warehousing concepts such as dimensional models, database design, and data modeling

Strong business understanding and ability to analyze data

Strong proficiency with SQL for data manipulation and querying.

Hands-on experience with ETL/ELT tools (e.g., dbt, Apache Airflow)

Experience with cloud platforms such as AWS, GCP, or Azure, including data-related services (e.g., S3, Redshift, BigQuery, Data Lake, Snowflake).

Familiarity with programming languages such as Python

Knowledge of tools and frameworks for big data processing (e.g., Apache Spark, Kafka, Databricks) is a plus.

Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment

Excellent communication and interpersonal skills.