דרושים » הנדסה » Senior Data Engineer

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

Required Senior Data Engineer
Our Mission:
Our mission is to enable enterprises to be more strategic, proactive, and make data-driven decisions to optimize their facility security, IT infrastructure and sustainability operations.
Job Summary:
As a Senior Data Engineer you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. at our company, you are encouraged to think big and help out in other areas as well.
Key focuses:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders.

We are seeking an experienced Data Engineer to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles.
You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.

Required Data Infrastructure Engineer
Job Description:
Design, build, and maintain scalable data solutions and infrastructure to support data processing, data quality and data tools for different data professionals and consumers in the organization
Develop and maintain generic processes to ingest data automatically from various sources into our data lake/data warehouse
Lead end to end projects in the data infrastructure group, working closely with users and leaders from the Data Engineering Guild
Collaborate with cross-functional infrastructure teams to integrate data engineering solutions into our products and services to create high-quality deliverables
Stay up-to-date with the latest trends and technologies in data engineering and recommend best practices to improve our data infrastructure.

we are looking for a Senior Engineer with a data engineering background to join our growing ML Platform team. This is a great opportunity to enter the world of Machine Learning. Together well provide tools to develop more effective models, get them into production faster, and ensure that they continue to perform well over time.
What you will be doing:

Designing, building, and maintaining the ML infrastructure that allows models to make billions of real-time decisions every year.
Building a platform that enables managing a full ML model lifecycle - from researching to training, deploying, and serving predictions in real-time.
Building distributed data processing pipelines to support model development.
Acting as a consultant to researchers, data scientists, and expert analysts and enabling them to research new models faster and with greater precision by providing cutting-edge tooling.
Expanding our ML infrastructure to make it scalable, quick, and efficient to bring diverse models to production and to monitor their performance and drift over time.
Expanding the pool of internal customers able to use ML. Work with them to understand their needs and help them make the most of the infrastructure that well provide.
Acting as an advocate for MLOps, continually improving our processes, and raising our standards.

Required Data Engineer
Job Description:
Be responsible for designing, implementing and maintaining data pipelines from different sources into the organizational data warehouse (DWH)
Design and implement robust, scalable solutions making it easier to identify gaps and the design processes needed to solve them
Work with analysts and product managers to understand business priorities and translate requirements into data models
Collaborate with various stakeholders across the company like data engineers, analysts, data scientists, finance experts, etc.,
Collaborate with a broad forum of stakeholders, including architects and engineers, to create high quality deliverables.

We are looking for a Software Engineer to join the Cluster team.
Why would you love this job?
As a member of the Core Platforms group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting more than 200 million ops/sec at sub-millisecond latency with true linear scalability.
​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people. You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve. You are able and willing to share your knowledge and guide other team members.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.
What youll do:
Develop the next generation of ourr Cluster products and solutions.
Own and lead our Cluster features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open source projects that we maintains and/or contributes to.
Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.

Were looking for an exceptional Data Team Lead to lead our data analytics team and transform the scraping industry. As a Head of Data, you will be a major focal point in the company, lead a team of data professionals and work closely with cross-functional teams to ensure data-driven decision-making and impactful insights.
What Youll be Doing:
Provide strong leadership and mentorship to a team of data analysts and data engineers by setting clear goals, providing regular feedback, and ensuring the teams professional growth and development
Work closely with Product, Sales and CS teams to gather needs for data insights and reports within the company
Own internal data in the company, including product and business analytics, end to end and be responsible for its delivery, infrastructure, accuracy and integrity
Work closely with the product team to lead data features of our own customer facing analytics dashboard
Lead the analysis of complex datasets to extract valuable insights, trends, patterns and anomalies that drive strategic decisions
Present findings and actionable insights to senior management and cross-functional teams
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth ץ

Were a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which were responsible. We work in a distributed, remote-friendly, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life. As a remote employee, you connect to your co-workers mostly via Slack and Zoom. In this setting your ability to work unsupervised, communicate asynchronously, and take initiative in maintaining lines of communication is crucial.

What You'll Do:

Develop ETL jobs to gather data from multiple sources and provide insights into various product areas

Building data warehouses where large amounts of metrics and data will be stored

Interacting with many product groups within the organization to collect key metrics via APIs, Kafka integrations or direct data access

Participation in configuring and receiving uptime alerts related to the services you control.

Keeping services up and running in a healthy state.

We are looking for a Backend Software Engineer - Senior/Lead. JR245034
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).