דרושים » תוכנה » data Operations Manager

A fast-growing, well-funded startup in the data domain is looking for a Software Development Team Lead to lead a team of engineers, reporting to the Director of Engineering. As a Software Development Team Lead, youll lead a team of back-end, Full-Stack, and data engineers, working closely with Product Managers and other stakeholders to plan, kickoff, and execute new product and feature development projects. Our ideal candidate is someone who values excellence, is hungry for success, and thrives when working with the best. Job Summary: As an Software Development Team Lead, you'll be responsible for overseeing the design, development, and implementation of robust software solutions, including strategic Full-Stack applications and our Big Data architecture. You'll lead a team of engineers and collaborate with cross-functional teams to drive initiatives that support business objectives. Your expertise in Big Data technologies, including Elastic, Kafka, and JAVA, will be critical in ensuring the scalability and performance of our systems. What youll do:
Lead and mentor a team of engineers in the design and development of software solutions, including Big Data solutions and Full-Stack applications. Architect and implement data processing pipelines Real-Time data streaming. Optimize and manage search capabilities. Develop strategic Full-Stack applications to meet business needs. Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications. Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development. Stay up-to-date with emerging trends and technologies in software engineering and Big Data, and recommend improvements to our architecture and processes. Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability. Contribute to strategic planning and decision-making regarding architecture and tools. Collect and analyze your teams KPIs. Participate in customer calls, understand their use cases, and solve their problems. Collaborate with software teams across different locations.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a talented and motivated BI Lead to build our Tableau environment from the ground up. The ideal candidate will have strong analytical skills, a deep understanding of data visualization principles, and the expertise to transform data into actionable insights. You will play a single and critical role in designing, developing, and implementing Tableau dashboards and reports that facilitate data-driven decision-making within our organization. Responsibilities:
* Environment Setup: Establish and configure the Tableau environment, including server setup, user access, and security protocols.
* Data Integration: Collaborate with data engineering and IT teams to gather, clean, and integrate data from multiple sources (Salesforce, MongoDB, APIs) into Tableau.
* Dashboard Development: Design, create, and maintain interactive and user-friendly
* Tableau dashboards and reports that meet the needs of various stakeholders across the organization.
* Data Modeling: Develop and document data models and schemas to ensure efficient data retrieval and analysis.
* Business Requirements Gathering: Work closely with business users to understand their reporting needs and translate them into technical specifications.
* Performance Optimization: Monitor and optimize the performance of Tableau reports and dashboards, ensuring they meet performance standards and are scalable.
* Training and Support: Provide training and support to end-users, guiding them on how to utilize Tableau for self-service analytics.
* Documentation: Maintain comprehensive documentation of the Tableau environment, data sources, dashboards, and user training materials.
* Continuous Improvement: Stay updated on the latest Tableau features and best practices, and continuously seek opportunities to enhance and optimize the reporting capabilities.

we are looking for a BI Data Engineer
As a BI Data Engineer , you will play a key role in designing, developing, and maintaining scalable data solutions that generate business impact.

Key Responsibilities:

Design and implement robust data models, ETL pipelines, and data flows that support advanced analytics and reporting across the organization.
Develop new data solutions from scratch while maintaining and enhancing existing infrastructure
Partner with the Data Architect to manage and evolve Skais data architecture, ensuring it accurately reflects and supports the evolving business model.
Work closely with business stakeholders to convert complex requirements into actionable data insights that drive informed decisions.
Become a focal point for all data-related matters in the organization.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.
What youll do:
Design & Develop cutting edge, scalable and robust big data pipelines, integrated with operational applications, deployed at hundreds of ships around the world.
Design & Develop best practice big lakehouse semantic data.
Serve as internal and external users, semantic data focal point.
Be a pivotal part in a highly professional data team.

we are looking for a Data Engineer
What You'll Do:

Design, build, and maintain data pipelines and infrastructure
Develop and implement data quality checks and monitoring processes
Work with engineers to integrate data into our systems and applications
Collaborate with scientists and analysts to understand their data needs