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Data store developers in Germany - Mariusz S.
Mariusz S.

Data store developer in Germany (UTC+2)

I’ve been developing for Apple devices in Swift since 2017. My favourite project management framework is Agile/Scrum. In my 9-5 life I’m a software QA engineer with over 13 years of experience in IT: from a junior service desk agent to senior consultant.

Data store developers in Germany - priyansh N.
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priyansh N.

Vetted Data store developer in Germany (UTC+2)

Architect with experience of 8+ years in Frontend +Backend+big data I Have worked across various domains in my career did freelancing as well as worked for top product based companies I have expertise in payment, Ecommerce, Banking domain as well as i have knowledge of building enterprise web application and Windows , Linux native applications which can scale at high level I am java certified professional and I am having below mentioned certificates • Java Certified- Oracle certified java developer • Web component certified -Oracle Certified Web Component developer • Certified Spring boot and Aws architect. My experience is vastly distributed across technologies, such as: • Backend Solutions System Designing ,Complex application designs ,Data structure and algorithm,Architecturing Test Driven development,Team management,Windows native application,Web Applications • Tools and Tech: Language: Java ,Golang, Kotlin , Python ,Typescript,Javascript,Ruby Data base: Cassandra, Mongo-Db,Postgresql,CouchBase,MySql,Oracle,Sql and Plsql Caching: Redis,MemCache, Framework: Hibernate,Spring Jpa, Spring boot,React-Go,Dynamo-Db,Spring-Cloud,Spring-Mvc CI/CD: Jenkins, Aws-Codecommit, BitBucket, AzureDevops, Continuous Delivery Cloud: Aws and Azure Messaging-Queue: Kafka,Aws-msk,Azure-EventHub Architecture: Microservices,EventDriven,Monolithic,Windows native application Have knowledge of concurrency and event driven systems . • Front End Technologies JavaScript, jQuery, Angular 2, Typescript,React ,Es6,npm,web pack, grunt • Hadoop Ecosystems Spark, scala, hdfs ,Mapreduce,Hadoop,scoop,hive,

Data store developers in Germany - Robin M.
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Robin M.

Vetted Data store developer in Germany (UTC+1)

I am an experienced DevOps Engineer with expertise in automation, optimization of business processes, and implementation of DevOps processes. I have worked on cloud infrastructure, containerization, and infrastructure as code. Additionally, I have experience as a Data Scientist and Software Engineer, developing machine learning models and automation solutions. I have strong skills in Python, Kubernetes and Docker,

Data store developers in Germany - Simone R.
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Simone R.

Vetted Data store 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.

Data store developers in Germany - Hassan J.
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Hassan J.

Vetted Data store 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.

Data store developers in Germany - Chris S.
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Chris S.

Vetted Data store developer in Germany (UTC+1)

Dear Hiring Manager, I am writing to express my interest in the AI Engineer position at your company. My background is in computational astrophysics and observational astronomy, but I’ve worked across several industries including CPG/retail, gaming, and insurance. I have over 6 years of experience in data science, machine learning, and software engineering. I’m good at quickly acclimating to domain jumps and new technology, as well as turning business problems/queries from non-technical people into technical solutions. Recently I’ve been helping companies on a short-term contract basis while working as a Founding Engineer and building out an MVP. My main coding language is Python, but I have experience with SQL, Root, Mathematica, Maple, Matlab, R, and Javascript. Within Python, I have used numpy, scipy, TensorFlow, scikit-learn, pytorch, pandas, matplotlib, seaborn, and plotly. Additionally, I have experience with LangChain, OpenAI, and Pinecone vector databases, forming the PLOP tech stack. Furthermore, I have experience with cloud computing (Azure, GCP, AWS, private clusters), Linux, managing large datasets, and process automation. I can effectively and concisely communicate technical ideas to a broader audience, including stakeholders. I have leadership experience within technical and non-technical roles, I have end to end data acquisition, cleaning, and analysis experience, and my strong foundation in math and data analysis, combined with independent research skills, make me able to tackle nearly any problem. I am excited about the opportunity to bring my skills and experience to your company and contribute to the success of the team. Thank you for considering my application. I am eager to further discuss my qualifications and learn more about this opportunity. Cheers, Chris Singleton

Data store developers in Germany - Aiden E.
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Aiden E.

Vetted Data store 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.

Data store developers in Germany - Hariprasad K.
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Hariprasad K.

Vetted Data store developer in Germany (UTC+6)

Result-oriented and innovative backend and data engineering with over 10 years of experience.

Data store developers in Germany - Nivedita C.
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Nivedita C.

Vetted Data store developer in Germany (UTC+1)

A highly motivated and skilled Business Intelligence Developer with 5+ years of experience in transforming large, unorganized data into accessible tools, specializing in Power BI, data models, DAX, and data visualization, committed to optimizing performance and delivering valuable insights. Business Intelligence is my passion and I am keen to work in an environment involving challenging assignments.

Data store developers in Germany - Christian N.
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Christian N.

Vetted Data store 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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Why clients hire Data store developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Hire top software developers in Germany with Arc

Arc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
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FAQs

Why hire a Data store developer?

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 Data store 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 Data store developers can help keep your website up-to-date.

How do I hire Data store developers?

To hire a Data store 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 Data store developers effectively and efficiently. Hire full-time Data store 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 Data store 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 Data store 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 Data store developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data store developers?

There are two types of platforms you can hire Data store 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 Data store 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 Data store developers, consider niche platforms like Arc that naturally attract and carefully vet their Data store developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data store developers.

Some factors to consider when you hire Data store 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 Data store developers for hire.

How do I write a Data store developer job description?

Writing a good Data store developer job description is crucial in helping you hire Data store 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 Data store 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 Data store developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Data store developer?

The top five technical skills Data store 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 Data store 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 Data store developers to keep up with evolving technology and requirements.

What kinds of Data store developers are available for hire through Arc?

You can find a variety of Data store developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data store developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data store 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 Data store developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Data store developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data store developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data store developers.

Every Data store 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 Data store 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.

How does Arc vet a Data store developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data store 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 Data store 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 Data store developers, you can rest assured that all remote Data store developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Data store developers on Arc?

Arc pre-screens all of our remote Data store developers before we present them to you. As such, all the remote Data store 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 Data store developer in 72 hours, or find a full-time Data store 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 Data store developers.

How much does a freelance Data store developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data store developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data store 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 Data store 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.

How much does it cost to hire a full time Data store developer?

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 Data store 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 Data store developers, check out our FAQs page.

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