We are looking for a Senior Data Engineer (EMEA).
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

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.

As a Senior Data Engineer at CodeValue, you'll play a crucial role in our data team, contributing to the development and maintenance of scalable data pipelines and systems. You'll be at the forefront of designing, implementing, and optimizing data solutions that drive our business objectives and empower data-driven decision-making processes. Collaboration with data analysts, data scientists, and other stakeholders will be essential to ensure data integrity, reliability, and accessibility. Responsibilities:
* Design, develop, and optimize data pipelines and architectures using a variety of technologies and tools including Python, SQL, Spark, Kafka, and Airflow.
* Develop efficient data models to facilitate storage, retrieval, and processing, with a focus on schema design for NoSQL databases, data lakes, and data warehouses.
* Ensure scalability of big data architecture to handle large data volumes and high traffic loads.
* Implement data quality checks, validation processes, and data governance measures to ensure accuracy and consistency of data.
* Monitor, troubleshoot, and debug data issues and performance bottlenecks.
* Implement security measures such as encryption, access controls, and data masking to protect sensitive data.
* Research and evaluate new data technologies and best practices to enhance data engineering processes and solutions.

Top Profiles:
Top Profiles

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).

We are looking for a Data Engineer to join the manufacturing data Engineering team and help us shape data collection solutions, quality control methodologies and monitors, support data enlargement scale. As a Data Engineer, you will play a meaningful role in bridging the gap between machine learning and software engineering. Your primary responsibility will be to develop, deploy, and maintain the infrastructure, data pipelines and workflows required for the end-to-end solution collecting the data till loading to data warehouse. If you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving, we'd love to hear from you!

What youll be doing:

Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement and maintain scalable data pipelines, infrastructure and workflows.

develop and support data models, schemas, and database structures that provide blazing-fast analytics performance. Constantly optimize data workflows to ensure seamless real-time and batch data processing.

Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage. detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.

Control, monitor and optimize worldwide production servers.

Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.

Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and best practices to improve our data infrastructure, empowering data scientists and analysts alike.

Foster a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers, applying your expertise to uplift the entire department.

We are looking for an experienced and visionary Data Engineering Team Lead to play a pivotal role in our data engineering process and execution across our product portfolio. In this leadership position, you will lead a talented team of Data Engineers, steering the development and maintenance of optimized and highly available data pipelines that underpin our data-driven decision-making. Data stack is very vast and can be delivered from multiple App Store Optimization data sources such as Google, Apple, App intelligence platforms, Attribution platforms, etc.

Responsibilities:
Leading the data engineering team and working closely with cross-functional teams.
Effectively manage tasks and workflows using Jira, ensuring timely completion and adherence to project timelines.
Monitor pipelines and alerts through email and Slack, promptly addressing any issues that may arise.
Identify bottlenecks within processes and strategize solutions to ensure smooth project execution.
Collaborate with team members to plan and prioritize tasks, understanding the specific needs and requirements for successful project delivery.
Oversee the maintenance of data-related resources, including MySQL, BigQuery, Postgres/TSDB, with a focus on monitoring, upgrading, optimizing, and developing these systems.
Design and maintain Airflow data pipelines, creating new procedures for monitoring and managing datasets to support both internal and external clients.
Review and analyze Pull Requests (PRs) and Code Reviews (CRs) to maintain code quality and consistency.
Roles & Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs.
Prepare data for analytical or operational uses.
Design, build, test, and maintain data pipelines to bring together information from multiple systems.
Represent data insights.

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

We are seeking an experienced and skilled Senior Backend Developer with a proven track record of more than 3 years in core banking with an emphasis on balance and ledger systems.
As a Senior Backend Developer, you will play a key role in designing, implementing, and maintaining the backend systems that power our core banking infrastructure.
Your expertise in core banking operations, balance management, and ledger systems will be crucial in ensuring the reliability, security, and scalability of our financial services.
Responsibilities:
Backend System Development:
Design, develop, and maintain scalable and efficient backend systems for core banking operations
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Core Banking Expertise:
Leverage your in-depth knowledge of core banking processes to enhance and optimize existing systems
Stay updated on industry trends and best practices related to core banking technologies
Balance and Ledger Management:
Develop and implement solutions for real-time balance tracking and ledger management
Ensure accuracy, consistency, and integrity of financial data across the system
Database Management:
Design and optimize database schemas for efficient storage and retrieval of financial data
Implement data security measures to protect sensitive financial information
Performance Optimization:
Identify and address performance bottlenecks in the backend systems to ensure optimal system responsiveness
Collaboration and Communication:
Collaborate with front-end developers, QA engineers, and other team members to deliver high-quality software solutions
Communicate effectively with stakeholders to gather requirements and provide project updates
Code Review and Mentorship:
Conduct code reviews to ensure code quality, adherence to coding standards, and best practices
Mentor junior developers and contribute to their professional growth
Troubleshooting and Support:
Investigate and resolve backend-related issues in a timely manner
Provide support for production systems and participate in an on-call rotation

Our Company is seeking a talented Site Reliability Engineer to join our team in Israel.
Our SRE team is responsible for the design, creation, and maintenance of a complete multi-on-prem and cloud applications, deployment and monitoring framework, working with all major cloud providers. (AWS/Azure/GCP).
This is an amazing opportunity to work with a world-class technical team and to hold responsibility for designing, creating, and provisioning infrastructure as well as deploying and maintaining applications with a focus on infrastructure as code.
We aim to adopt the best solutions to fulfill our requirements, and you will be encouraged to bring your ideas and new thinking.
So, if you want to grow with us and work for a world leader company, Now it is the right time to join.
What Youll Do:
Site reliability engineer is what you get when you treat operations as if its a software problem.
Our mission is to protect, provide for, and progress the software and systems behind all of our company services.
Ensure high uptime and reliability of Crossixs production environment, on-prem and cloud.
Take responsibility for managing the production environment, security, change management, deployment, architecture, and tools.
Lead technical calls with business partners to explain how our applications are architected, understand requirements, and handle production problems.
Perform root cause analysis for complex failures and offer modern solutions and tools.
Utilize Grafana to develop effective dashboards that provide key insights and system performance.
Analyze performance and stability issues and create in-house automation tooling.
Work closely with DevOps, R&D, product, and integration managers to enable automated CI/CD methods.
Design, develop, and drive troubleshooting & mitigation tools as part of driving self-healing agenda.
Constantly improve the technology stack, supporting the data growth.
Working in a data-driven company with cutting-edge environments that combine on-prem and cloud technologies.