דרושים » תוכנה » Big Data Infrastructure Admin- 2538

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.

Responsibilities
Design and development of high-quality big data processing engineer

Identify and proactively address potential product risks and challenges and ensuring success

Work closely with stakeholders to transform requirements into technical specifications

Ensure that the code is consistent with industry coding standards and best practices

Take a deep dive into the technical details and provide expert advice and solutions

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, you’ll 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 you’ll 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 team’s KPIs. ? Participate in customer calls, understand their use cases, and solve their problems. ? Collaborate with software teams across different locations.

a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.

Were seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, youll set the technical direction, optimize data pipelines, and tackle programming challengesclosing knowledge gaps, solving data-related questions, and streamlining operations. Youll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
Oversee the technical aspects of data projects by making architectural and design decisions.
Streamline existing operations and implement improvements with the teams collaboration.
Guiding team members in technical matters, and supervising system modifications.
Conducting Code reviews for data analysts, BI Analysts and data engineers.
Bridge technical knowledge gaps within the data team, answering critical product-related questions.

Were building the future workforce of our companys Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools
Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions
Utilize various Machine Learning models to explore data, collaborating with cutting-edge big data tools and techniques
Collaborate with various stakeholders to plan, design, develop, test and maintain extraordinary features
Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.

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 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

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.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

Responsibilities and Duties:

data Integration (60%)
Design, build, and maintain seamless data integrations with customers using Streams, Databases (DBs), and APIs.
Ensure efficient data mapping, transformation, and validation processes.
Optimize integration pipelines for performance and scalability.
Customer Support Issue Resolution (30%)
Troubleshoot and resolve integration or data -related issues for customers.
Act as a trusted technical advisor, helping clients optimize their data processes.
Work closely with Customer Success teams to enhance the onboarding experience and reduce time to value.
Continuous Improvement (10%)
Provide insights to enhance data integration processes, improve system efficiency, and contribute to automation efforts.
Identify opportunities to streamline workflows and implement best practices.