NoSQL databases – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentFri, 25 Oct 2024 05:00:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngNoSQL databases – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232DevOps Engineer
https://whoneedsengineers.com/jobs/devops-cloud-and-it-operations/devops-engineer-165/
Fri, 25 Oct 2024 05:00:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/devops-engineer-165/DevOps Engineer
Job Description:
At Cofinity-X, we are on a mission to revolutionize the automotive industry by creating a secure and standardized data transfer marketplace. As a DevOps Engineer, you will play a pivotal role in designing, implementing, and managing continuous integration and continuous delivery (CI/CD) pipelines that enhance our development and deployment processes. Your expertise will be crucial in automating operations and implementing robust security measures based on established standards such as NIST and OWASP. You will also be responsible for aggregating open-source tools to effectively manage vulnerabilities and create efficient delivery environments. Working closely with our infrastructure team, you will analyze database performance and optimize it by implementing best practices in query optimization, indexing strategies, and schema design. Join us as we pave the way for innovation and growth in the automotive sector.
IT Languages:
Python
Java
Bash
As a DevOps Engineer, you will be tasked with various responsibilities that ensure the smooth operation of our development processes. Your role will involve::
Designing and implementing CI/CD pipelines to automate and streamline deployment processes;; Automating operations involving microservices and scripts;; Generating automatic security reports based on established security standards;; Building and configuring delivery environments that support Agile methodologies;; Monitoring and optimizing database health and performance;; Collaborating with the infrastructure team to create an automated CI/CD system;; Analyzing and resolving complex database performance issues
Spoken Languages:
English;; German
Skillset:
CI/CD
Cloud Platforms
AWS
Azure
Google Cloud
Relational Databases
NoSQL Databases
Database Performance Optimization
Automation Tools
Soft Skills:
Collaborative
Analytical
Problem-solving
Adaptable
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field
Strong background in DevOps practices and methodologies
Years of Experience:
5
Location:
Germany
Job Benefits:
Hybrid working model
Flexible working hours
Annual training budget of 1500 EUR
Choice of hardware with personal use options
Monthly lunch subsidy up to 108 EUR
Deutschland Ticket for eco-friendly commuting
Workation opportunities within the EU
Company-sponsored pension scheme
Regular team-building events
Modern office with views of Cologne Cathedral
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of innovation, collaboration, and continuous improvement. Our team is driven by a shared vision of excellence and is committed to creating a positive working environment that encourages personal and professional growth.
Opportunities For Advancement:
Professional development programs, Leadership training opportunities, Career progression within the company
Visa Sponsorship:
Available
]]>Senior Data Scientist
https://whoneedsengineers.com/jobs/data-sciene-and-analytics/senior-data-scientist-11/
Tue, 08 Oct 2024 11:50:01 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/senior-data-scientist-11/Senior Data Scientist
Job Description:
Are you passionate about mathematics and programming? Do you thrive on tackling complex challenges and finding elegant solutions? In this role, you will be at the intersection of mathematics, programming, and infrastructure, where you will play a crucial part in shaping the architecture of Big Data systems. You will be tasked with developing sophisticated algorithms that analyze pricing and promotional effects on consumer behavior, utilizing both modern AI techniques and traditional methods. As a key contributor, you will design systems for optimization and experimental design that uncover the best strategies for diverse products. Your expertise will be vital in validating our models and determining their impact on clients' businesses. Collaborating closely with product management, you will transform innovative ideas into well-tested, efficient code predominantly using R and Python. Additionally, you will work alongside the engineering team to create scalable solutions and serve as an expert in data science for both internal teams and clients, providing actionable insights into business strategies.
IT Languages:
Python
R
SQL
As a Senior Data Scientist, you will have a diverse array of responsibilities centered around data analysis and algorithm development.:
Develop mathematical models for machine learning and statistical analysis to assess the impact of pricing strategies.;; Balance the application of modern AI methodologies with established classical approaches.;; Create optimization systems and experimental designs aimed at identifying effective product strategies.;; Implement model validation techniques to evaluate the accuracy and business relevance of your models.;; Collaborate with product management to generate innovative ideas and translate them into robust code.;; Contribute to the development of scalable data solutions alongside engineering teams.;; Act as a data science authority within the organization, providing insights and strategies to enhance client engagements.
Spoken Languages:
English;; German
Skillset:
Machine learning
Statistical analysis
Big Data technologies
NoSQL databases
Data visualization
Soft Skills:
Analytical thinking
Problem-solving orientation
Team collaboration
Effective communication
Attention to detail
Qualifications:
Bachelor’s or Master’s degree in data science, mathematics, computer science, or a related field.
Strong foundation in linear algebra, hypothesis testing, and Bayesian methods.
Proficiency in statistical learning techniques and regression analysis.
Years of Experience:
5
Location:
Germany
Job Benefits:
Competitive salary and comprehensive benefits package
Flexible remote working environment
Opportunities for professional growth and skill development
Dynamic and diverse work culture
Supportive team atmosphere
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of collaboration, respect, and flexibility, allowing team members to thrive and grow in their roles.
Opportunities For Advancement:
Leadership roles in data science, Specialization in advanced analytics or machine learning, Mentorship and training opportunities
As a Full Stack Engineer, you will play a crucial role in the development of our innovative QuickCommerce platform. This position involves collaborating with cross-functional teams to create and enhance both the frontend and backend components of our web and mobile applications. You will work on various core services and API clients, ensuring that our platform meets the needs of international users across our shops, warehouses, and delivery workforce. You will actively participate in discussions regarding platform development and microservices architecture. Your responsibilities will also include driving the application lifecycle from initial concept through to production, while supporting essential business applications and services. A proactive approach to adopting and experimenting with new technologies will be encouraged, and you will have the opportunity to help scale our web team by conducting interviews and code pairing sessions.
IT Languages:
JavaScript
TypeScript
ReactJS
Node.js
Your primary responsibilities will include collaborating with teams to build and develop services and features within our digital ecosystem.:
Develop and improve web and mobile applications;; Engage in planning and architectural discussions;; Collaborate closely with other teams to enhance user experience;; Oversee the entire application lifecycle, from inception to production;; Experiment with and adopt new technologies;; Participate in the recruitment and onboarding of new team members
Spoken Languages:
English;; German
Skillset:
Node.js
Next.js
Google Cloud Platform
Docker
Kubernetes
GraphQL
Microservices architecture
SQL
NoSQL databases
Soft Skills:
Open-mindedness
Collaborative decision-making
Adaptability
Proactiveness
Qualifications:
Proven experience as a Full Stack or Frontend Engineer
Experience in building scalable and reliable applications
Comfortable with JavaScript, TypeScript, and ReactJS
Understanding of RESTful principles and API design
Rigorous focus on code quality and testing methodologies
Familiarity with modern web development workflows
Years of Experience:
5
Location:
Berlin, Berlin, Germany, EU
Job Benefits:
Annual learning and development budget of €1000
26 days of vacation, increasing by one day each year, up to a maximum of 30 days
Monthly mobility budget of €30 for transportation
Discount on Urban Sports Club membership
Attractive pension options
Unlimited access to an e-learning platform
Online discounts through Corporate Benefits
Discount on personal Flink orders
Modern, dog-friendly office environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The company fosters an inclusive environment that values diversity and multiculturalism, encouraging employees to continuously improve and strive for excellence.
Opportunities For Advancement:
Professional development through training, Career progression opportunities, Mentorship programs
We are seeking a talented and motivated Data Engineer to join our dynamic team in Berlin. In this role, you will be responsible for designing, developing, and optimizing scalable data pipelines and architectures that facilitate the integration and processing of large datasets from diverse sources. You will work closely with developers and data scientists to enhance and implement machine learning models, participating in the selection of suitable ML frameworks and tools such as TensorFlow and PyTorch. Additionally, you will design and maintain robust databases and data warehouses, ensuring efficient data storage and processing capabilities. You will lead data-driven projects independently, coordinating with various stakeholders to define project requirements and ensure timely delivery of results. Your expertise will also contribute to the optimization of our data infrastructure for performance, security, and scalability. Monitoring and testing mechanisms will be implemented to ensure data quality, alongside supporting the selection and implementation of appropriate tools and technologies, including cloud data platforms like AWS Redshift, Google BigQuery, and Azure Synapse Analytics.
IT Languages:
Python
Java
Scala
As a Data Engineer, you will undertake the following responsibilities::
Develop, optimize, and maintain scalable data pipelines and architectures;; Build and implement ETL processes for large volume data integration;; Collaborate with developers and data scientists for machine learning model optimization;; Participate in the selection of appropriate ML frameworks and tools;; Design and maintain databases and data warehouses;; Lead data-driven projects, coordinating with stakeholders;; Optimize data infrastructure for performance and security;; Ensure data quality through monitoring and testing;; Support the selection of cloud data platforms and technologies
Spoken Languages:
English;; German
Skillset:
Data pipeline development
ETL processes
Relational databases
NoSQL databases
Cloud platforms
Big Data technologies
Apache Kafka
Apache Airflow
Soft Skills:
Analytical thinking
Problem-solving skills
Effective communication
Collaboration
Time management
Qualifications:
Bachelor’s degree in computer science, Data Science, Engineering, or related field
Several years of professional experience as a Data Engineer, preferably in consulting or a digital environment
Strong understanding of data pipeline development and maintenance
In-depth experience with relational and NoSQL databases, including SQL, PostgreSQL, and MongoDB
Familiarity with cloud data platforms such as AWS, Google Cloud, and Azure
Knowledge of Big Data technologies like Hadoop and Spark, as well as tools like Apache Kafka and Airflow
Proficiency in programming languages such as Python, Java, or Scala
Business fluent in both German and English
Years of Experience:
5
Location:
Berlin, Berlin, Germany, EU
Job Benefits:
Competitive salary
Flexible working hours
Professional development opportunities
Health and wellness programs
Collaborative work environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Our company fosters a culture of innovation and collaboration, where every team member's contribution is valued. We embrace a supportive environment that encourages continuous learning and professional growth. We prioritize work-life balance and strive to create a workplace that is inclusive and diverse.
Opportunities For Advancement:
Career growth within the data engineering team, Opportunities to lead projects, Access to training and certifications