לוח משרות דרושים הייטק דאטה בתל אביב יפו

Requirements:
3 years of experience as a Data Engineer or a related role
Experience with big data technologies such as Hadoop, Spark, or Elastic Search.
Proven experience in designing, building, and maintaining data pipelines and infrastructure
Service in Unit 8200 or another technology unit- An Advance.

Requirements:
Required Skills & Experience:
3-5+ years of hands-on backend or data engineering experience.
Strong proficiency in Python, specifically for ETL/data pipelines.
Experience with AWS services (Lambda, S3, EC2, IAM, VPC, etc.).
Hands-on work with Kubernetes (preferably AWS EKS).
Understanding of CI/CD processes and Git-based workflows.
Ability to work independently with customer teams and present technical solutions clearly.
Nice to Have:
Experience with Neo4j or other graph databases.
Experience with Frontend (React) development.
Knowledge of streaming platforms, data modeling, or distributed systems.
Experience working in consulting, retainer, or hourly engagement models.
Personal Qualities:
Strong communication skills, especially in customer-facing environments.
Self-driven, responsible, and comfortable handling end-to-end technical tasks.
Team player with the ability to work onsite when needed.

Requirements:
What You'll Need:

5+ years of experience in data engineering with 2+ years in a technical leadership or management role.

Strong technical background in Go and/or Java with hands-on experience in big data technologies.

Proven experience managing and scaling engineering teams.

Deep expertise with distributed databases (Cassandra, Elasticsearch) and production-grade data pipeline architecture.

Track record of delivering complex data infrastructure projects on time.

Excellent communication skills - ability to translate technical concepts to non-technical stakeholders.

Strong leadership abilities including mentoring, conflict resolution, and team building.

BS/MS in Computer Science or related field, or equivalent experience.

Experience with cloud platforms (AWS, GCP, Azure).

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Bonus Points:

Experience with identity and access management concepts or security analytics platforms.

Knowledge of security analytics and threat detection.

Contributions to open-source projects or technical community leadership.

Background in cybersecurity or security analytics.

Experience managing distributed or remote teams.

Prior experience at a high-growth technology company.

Requirements:
Bachelors or Masters degree in a relevant technical field, or equivalent hands-on experience in software development or DevOps.
3+ years of experience working as a Data Engineer, including end-to-end designing, orchestrating, and building cloud-based data pipelines (e.g., Airflow, Prefect, Dagster).
3+ years of experience with dimensional data modeling and data warehouse implementation, specifically MPP databases like BigQuery, Snowflake, and Redshift.
Strong knowledge of Python and Python-based data analysis tools such as Jupyter Notebooks and pandas.
Strong SQL writing skills. Ability to write highly performant queries.
Strong track record of executing projects independently in dynamic environments.
Fast understanding of data and business needs and ability to translate them into data models.
Team player with excellent communication skills.
Containerization (Docker): Essential for reproducible environments.
Knowledge of software engineering best practices: CI/CD concepts, code reviews, and unit testing.
ADVANTAGE
Production-level experience with dbt, including project design, transformation, testing, and documentation.
Infrastructure-as-Code (Terraform): Managing cloud resources (S3 buckets, IAM roles) via code.
CI/CD pipelines (GitHub Actions/Jenkins): Automating the testing and deployment of data models.

Requirements:
At least 4 years of experience as a data analyst or in a lead analyst role - Must
Excellent skills in SQL for extracting, manipulating, and analyzing large datasets.
Python Expertise: Hands-on experience with Python, including developing data models, automating processes, and performing advanced statistical analyses.
Data Visualization: Advanced skills in data visualization tools such as Tableau, Power BI, or similar, with the ability to create clear, actionable visual representations of data
Excellent problem-solving abilities and strategic thinking.
Strong communication skills, with the ability to explain complex concepts clearly.
Independent, self-motivated, and capable of managing multiple projects simultaneously.
Emphasis on business analysis is a significant advantage, with the ability to connect data insights to strategic business outcomes
Bonus skills:
Experience in gaming or ad-tech companies
Strong background in statistics
Proven experience designing and evaluating A/B tests
Familiarity with machine learning concepts and business applications
Hands-on experience using AI tools and platforms.

Requirements:
Who You Are (Success Profile):
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What Were Looking for (Minimum Qualifications):
7+ years of experience in data engineering with a proven track record of designing and building large-scale data systems
Demonstrated mastery of Apache Spark (PySpark preferred) and a deep architectural understanding of distributed data processing frameworks
Expert-level proficiency in SQL, data modeling, and the principles of modern data warehousing and data lake architecture
What Will Make You Stand Out (Preferred Qualifications):
Direct experience working in cybersecurity, threat intelligence, or a related security-focused domain
Proven experience building production-grade data solutions specifically using Databricks
A security-first mindset and a strong curiosity for understanding how systems can be monitored and secured.