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Vetted Google Analytics API developer in Germany (UTC+2)
software engineer with 7+ years of experience exclusively at startups.
Vetted Google Analytics API developer in Germany (UTC+1)
I am a result oriented team player, that has been working for almost 2 decades across different industries such as, Oil, Telecommunications, Finance, Marketing and most recently the Travel industry.
Vetted Google Analytics API developer in Germany (UTC+2)
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 Google Analytics API developer in Germany (UTC+2)
I'm a passionate **Software Engineer** with over eight years of experience in building robust and scalable applications. My expertise lies in designing and implementing **REST APIs** and **microservices**, alongside developing user interfaces that enhance user experiences. I thrive on leveraging technology to create innovative solutions that streamline processes and improve efficiency. Technical Skills ---------------- * **Languages**:Java Golang TypeScript * **Key Areas of Focus**:**Microservices Architecture**: Building and deploying modular services that enhance flexibility and scalability. **Highly Scalable Applications**: Experienced in working with applications in production that handle high traffic and demand. **DevOps & Automation**: Strong interest in automating workflows and optimizing CI/CD pipelines for better development practices. **Infrastructure Solutions**: Proficient in using tools like **Kubernetes**, **Terraform**, and **Ansible** to manage and provision infrastructure. My Journey ---------- Throughout my career, I've worked across various industries, including retail, logistics, streaming, IoT, and finance. I have a solid background in cloud technologies and infrastructure management, enabling me to deliver high-quality software solutions that meet business needs.
Vetted Google Analytics API developer in Germany (UTC+1)
I am a Senior Backend Engineer at Tier Mobility SE based in Munich, Germany. Before moving to Berlin, I was an Assistant Tech Lead at Adacta Fintech based in Slovenia spearheading the development of insurance solutions for Europe-based companies such as the Sava and DVA Insurance while honing my skills as a full-stack engineer. Before plunging into software development, I was a Machine Learning Engineer at Zemanta, an Outbrain Company where my day-to-day work involved implementing and analyzing the real-time machine algorithms and integrating them with the bidder infrastructure. Before moving to Slovenia, I worked as a Product Engineer at Sprinklr, India where I was involved in implementing the machine learning module in the data flow execution pipeline using Kafka, Spark, and Spring frameworks.
Vetted Google Analytics API developer in Germany (UTC+1)
I am a Senior Software Engineer with expertise in Python, team leadership, system architecture design, backend development, cloud infrastructure, and various technologies. I have experience in leading cross-domain agile teams and developing cloud-native microservices.
Vetted Google Analytics API developer in Germany (UTC+1)
I am a talented and motivated Tech Lead / Senior Software Engineer helping organizations with the digital transformation of their business. \- More than 15 years of experience developing various software projects using C#, Go, Python, and NodeJS. \- Experience leading cross-functional teams of 5-7 engineers to deliver complex and highly demanded features for the client’s applications on time. \- Technical leadership and mentorship skills, strong problem-solving, software design and development skills. \- Extensive experience with distributed systems and cloud architecture.
Vetted Google Analytics API 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 Google Analytics API developer in Germany (UTC+2)
I'm engineer with hands-on expertise in backends. I designed, built, deployed and added features to social network app, built REST & RPC APIs, proficient with AWS cloud. I developed scalable real-time chat, video call, online booking system, search, online payments, fraud & risk systems.
Vetted Google Analytics API developer in Germany (UTC+2)
I have a background in theoretical physics and have worked on machine learning and data science-related topics since 2016. Since then, I have published multiple peer-reviewed papers on machine learning as part of the autonomous driving unit at Mercedes Benz AG and worked as a data science consultant/developer for DAX-listed companies. Others would describe me as creative in my thinking, excelling at finding new ways to tackle problems. I love intellectual challenges that keep me engaged and thrive in cooperative working environments. I am a very self-directed person who can quickly identify what needs to be done and act accordingly. On top of that, my strengths are communicating complex ideas at an appropriate level and holding engaging presentations.
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Ready to hire your ideal Google Analytics API 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 Google Analytics API 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 a Google Analytics API 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 Google Analytics API developers can help keep your website up-to-date.
To hire a Google Analytics API 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 Google Analytics API developers effectively and efficiently. Hire full-time Google Analytics API 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 Google Analytics API 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 Google Analytics API 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 Google Analytics API developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Analytics API 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 Google Analytics API 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 Google Analytics API developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Analytics API developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Analytics API developers.
Some factors to consider when you hire Google Analytics API 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 Google Analytics API developers for hire.
Writing a good Google Analytics API developer job description is crucial in helping you hire Google Analytics API 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 Google Analytics API 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 Google Analytics API developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Google Analytics API developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Google Analytics API 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 Google Analytics API developers to keep up with evolving technology and requirements.
You can find a variety of Google Analytics API developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Analytics API developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Analytics API 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Google Analytics API 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 Google Analytics API developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Analytics API developers.
Every Google Analytics API 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 Google Analytics API 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 Google Analytics API 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 Google Analytics API 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 Google Analytics API developers, you can rest assured that all remote Google Analytics API 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 Google Analytics API developers before we present them to you. As such, all the remote Google Analytics API 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 Google Analytics API developer in 72 hours, or find a full-time Google Analytics API 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 Google Analytics API developers.
Depending on the freelance developer job board you use, freelance remote Google Analytics API developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Analytics API 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 Google Analytics API 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 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 Google Analytics API 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 Google Analytics API developers, check out our FAQs page.