דרושים » דאטה » DataOps Engineer

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management

Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
5+ years of experience as a Data Analyst, with a strong track record of turning data into meaningful insights.
Advanced skills a must.
Proficiency with Tableau a must.
Proficiency with other BI tools an advantage
Strong analytical and statistical skills, with experience handling complex data to drive decision-making.
Ability to select the right visualization for the right analysis, ensuring data is presented in the most effective and insightful way.
Proven ability to learn quickly and work independently in a dynamic, fast-moving environment.
Excellent communication skills the ability to translate complex findings into clear, actionable insights for non-technical stakeholders.
Experience in problem-solving with imperfect data and ambiguous scenarios.
Nice-to-Have:
Experience in healthcare startups or familiarity with health-tech analytics.
Experience in product analytics, evaluating feature adoption, and user engagement.
proficiency for advanced data manipulation and automation.

Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
1 year of experience with data structures or algorithms.
Preferred qualifications:
Master's degree in Computer Science or a related technical field.

Requirements:
Minimum qualifications:
Bachelors degree in Electrical Engineering, Computer Science, or equivalent practical experience.
5 years of experience in scripting languages (e.g., Unix Shell, Python) to build tools and flows.
Experience with software version control systems (e.g., Git, Mercurial), and concepts of branches, commits, and merges.
Experience working with cross-functional teams for quality tape-outs.
Preferred qualifications:
Experience working with Register-Transfer Level (RTL) teams and design integration methodologies that improve team productivity and velocity.
Experience with design verification techniques, including constrained-random simulation, formal property verification, or static verification.
Experience evaluating multiple vendor solutions and driving tool decisions/design improvements.
Experience with ASIC design, debug, and verification flows.

Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
8 years of experience with C++ and Python.
Experience with analysis of multi-core SoC workload performance.
Experience creating or integrating simulation models of multi-core SoC subsystems at different levels of abstraction (e.g., cycle-accurate and TLM).
Preferred qualifications:
Experience with systemC.
Experience with SoC cycles in SoC performance modeling and analysis.
Knowledge of caches, mesh fabric, coherency, memory controllers, DRAM, PCIe, CPU, or GPU.
Ability to read, debug, and modify RTL and work with design flow, tools, and verilog language.

Requirements:
* Bachelor's degree in computer science or equivalent - MUST
* 2+ years of software development experience in Java
* Experience with HTML, JavaScript, and web development frameworks (React, Bootstrap, jQuery).
* Experience with software design and Object-oriented design (OOD) methodologies.
* Familiarity with Relational Databases and SQL.
* Solid expertise and in-depth knowledge of Object Oriented Programming, MVC, Design patterns, and SOLID principles.
* Team player, fast learner, and excited about learning new technologies.
* Excellent verbal and written communication and interpersonal skills.
* You are proactive by nature, strive for constant improvement, and have a keen sense of ownership. You'll have an advantage if you have
* Proven experience with React.
* A valid civil security classification.

Requirements:
3+ years of building SaaS applications, preferably in a service-oriented architecture
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Expertise in modern web development frameworks, C#, Java, or equivalent.
Experience in writing optimized SQL and working against various datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.