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Vetted Apache Airflow developer in Germany (UTC+1)
I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory. My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed. I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making. I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.
Vetted Apache Airflow developer in Germany (UTC+1)
Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.
Vetted Apache Airflow developer in Germany (UTC+1)
Experienced and dedicated Data Analyst with several years of experience identifying efficiencies and problem areas within data streams, while communicating needs for projects. Adept at receiving and monitoring data from multiple data streams, including SQL, Data Lake and Excel data sources. Bringing forth the ability to synthesize quantitative information and interact effectively with colleagues and clients. A creative thinker, adept in software development and working with various data structures. Bringing forth a proven track record of analyzing complex data sets and serving as a strong advisor.
Vetted Apache Airflow developer in Germany (UTC+2)
Experienced Data Engineer with a proven track record of creating and optimizing data platforms, pipelines, and warehouses. Proficient in open-source technologies. Adept in designing and implementing data models and architectures, I successfully transformed a data lake into a structured warehouse at eBay Turkey. My expertise spans AI, machine learning, and parallel processing, contributing to the deployment of ML models for actionable insights. Skilled in GCP, Terraform, and CI/CD pipelines. Passionate about data governance, security, and compliance. Fluent in English and Turkish.
Vetted Apache Airflow developer in Germany (UTC+2)
I have a bachelor's degree in software engineering and a master's degree in computer science with a focus on machine learning and natural language processing. I've been working as a data engineer since I graduated exclusively from Munich. In my last position, I was fully responsible for the data engineering department, so I built a full data engineering infrastructure setup and also trained in BIN data science on using it. My main stacks are Snowflake, DBT, Airflow, AWS, and Lambda. My programming languages are SQL, Python, and Git.
Vetted Apache Airflow developer in Germany (UTC+2)
I'm a fellow of ML/Data as a product applications. Besides all of the tools, I give much importance to business domain knowledge and data-driven mindset.
Apache Airflow developer in Germany (UTC+2)
I derive fulfillment from actively contributing to the achievements of both my colleagues and the organization where my team operates. I excel in environments that recognize data as the cornerstone for creating added value, nurturing innovative concepts, and facilitating learning experiences. Demonstrating leadership by supporting the community and mentoring younger colleagues is my way of showing appreciation to the mentors who have guided me throughout my journey. With more than 13 years of dedicated experience, my expertise lies in data modeling, ETL/ELT processes, and BI Engineering, complemented by a robust skill set in data visualization and I am particularly interested in working with technologies such as AWS, Azure, Airflow, dbt, and a variety of BI tools including MicroStrategy, Power BI, Tableau, and Looker, among others as an Analytics Engineer or BI Engineer
Apache Airflow developer in Germany (UTC+2)
I have extensive experience in building high-performance backend systems in Golang and Python. In all my roles as a backend engineer, I’ve used Docker & Kubernetes for deployment on AWS while using Prometheus and Grafana for application metrics and post-deployment monitoring. I prefer a data-driven approach to decision making and I’m not afraid to try new things because I believe that fear is mostly a call for growth.
Vetted Apache Airflow developer in Germany (UTC+2)
Software Engineer with 7+ years of experience in multiple technologies such as PHP, Java, Python, Javascript (React, Node), Docker, Kubernetes, Kafka, among others. Recognised as a valuable team player and mentor to junior engineers.
Vetted Apache Airflow developer in Germany (UTC+1)
Experienced Software Development Engineer with a strong background in Java/Kotlin development, microservices architecture, and AWS.
Meet Apache Airflow developers who are fully vetted for domain expertise and English fluency.
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Ready to hire your ideal Apache Airflow developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Apache Airflow developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire an Apache Airflow developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Apache Airflow developers can help keep your website up-to-date.
To hire an Apache Airflow developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Apache Airflow developers effectively and efficiently. Hire full-time Apache Airflow developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Apache Airflow developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Apache Airflow developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Apache Airflow developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Apache Airflow developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Apache Airflow developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Apache Airflow developers, consider niche platforms like Arc that naturally attract and carefully vet their Apache Airflow developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Apache Airflow developers.
Some factors to consider when you hire Apache Airflow developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Apache Airflow developers for hire.
Writing a good Apache Airflow developer job description is crucial in helping you hire Apache Airflow developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Apache Airflow developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Apache Airflow developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Apache Airflow developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Apache Airflow developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Apache Airflow developers to keep up with evolving technology and requirements.
You can find a variety of Apache Airflow developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Apache Airflow developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Apache Airflow developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Apache Airflow developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Apache Airflow developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Apache Airflow developers.
Every Apache Airflow developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Apache Airflow developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Apache Airflow developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Apache Airflow developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Apache Airflow developers, you can rest assured that all remote Apache Airflow developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Apache Airflow developers before we present them to you. As such, all the remote Apache Airflow developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Apache Airflow developer in 72 hours, or find a full-time Apache Airflow developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Apache Airflow developers.
Depending on the freelance developer job board you use, freelance remote Apache Airflow developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Apache Airflow developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Apache Airflow developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Apache Airflow developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Apache Airflow developers, check out our FAQs page.