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Vetted Data Engineering developer in Pakistan (UTC+5)
Hi I am Microsoft certified data engineer with 7 years of professional experience. My experience includes both architecture designing and development. I have experience in following Azure tech . Azure Datafactory Azure DataBricks Azure stream analytics Azure eventhubs Azure Datalake (gen2 gen1) Azure synapse analytics Azure SQL Azure functions Snowflake MPP dwh Snowflake store procedures Snowflake asynchronous tasks Snowflake copy from external stage Snowflake c# sdk C# Python Scala. Apache Airflow GCP cloud GCS Big query GCP composer I have implemented many enterprise solutions on Azure that includes data migration from on prem to cloud with Azure Datafactory, building Datalake on Azure Datalake, big data processing with DataBricks and Azure synapse analytics, snowflake as MPP DWH. Hopefully I will serve you in better way due to my relevant experience and knowledge. Waiting for your response. Regards, M Muddaser Talal
Vetted Data Engineering developer in Pakistan (UTC+5)
14 years of diverse experience in information technology industry. Roles include BI, ETL, System Analyst, ERP executive, Project Manager, DB administrator, Instructor.
Vetted Data Engineering developer in Pakistan (UTC+1)
* Bachelor’s degree in Computer Science with over 16 years of experience in software development, specializing in the analysis, design, and development of software applications. * Earned multiple certifications in AWS (Solutions Architect, Data Analytics, Database) and Databricks Spark. * Proficient in data modeling, data architecture, data warehousing, and business intelligence. * Expert in big data solutions on AWS and familiar with Azure data services including Data Lake, Data Factory, Databricks, and Synapse Analytics. * Extensive experience in ETL processes and data transfer technologies, with strong knowledge of both logical and physical database modeling methods. * Demonstrated project leadership, managing database management and ETL projects from concept to implementation. * Experienced in designing and developing data lake and big data solutions utilizing AWS (Redshift, Glue, DynamoDB) and Azure (Synapse Analytics, Data Factory). * Proficient in migrating data from on-premise environments to AWS, including Oracle and SQL Server to AWS EC2 and RDS (Aurora MySQL & PostgreSQL). * Strong adaptability and problem-solving skills, with experience working in Agile environments applying the Scrum methodology.
Vetted Data Engineering developer in Pakistan (UTC+5)
As an experienced Database Administrator, I specialize in managing, optimizing, and securing complex database systems for large-scale organizations. My expertise includes database migration, schema management, performance tuning, and ensuring high availability and disaster recovery. I have a strong track record of collaborating with cross-functional teams to implement database solutions that meet business needs, enhance performance, and improve operational efficiency.
Vetted Data Engineering developer in Pakistan (UTC+5)
Muhammad Affaan has a varied and diverse experience in distribution systems, databases and cutting edge technologies used for large scale, complex data storage and processing systems. He has a strong understanding of the concepts of computing and architectural frameworks. In his 22 year experience, he has worked at all levels of computing, including building embedded systems, research in Grid computing backed with IEEE publication, design/development of SQL parser of GridSQL (A distributed RDBMS), telecom OSS Data engineer, Mobility/IoT applications and Big Data analytics. This enables him to be instrumental in defining technology roadmaps for data architectures for various industries (Not only limited to Retail, Real Estate and Telecom). He has played an effective role in taking many projects out of their dead zones. He never relies on the building blocks of data architecture alone, without the realisation of how to implement them. He ensures architecture mapping aligns with the business objectives, making sure no component deviates from its intended purpose. This drives him to continuously evaluate available technologies and solutions proposed as part of the architecture that enables his teams to work confidently on delivering the implementation within agreed timeline and budget. He enjoys collaborating with his team members working on the groundwork and delving into the code level.
Data Engineering developer in Pakistan (UTC-7)
As a senior Data Engineer, my professional trajectory has been marked by a focus on leveraging cutting-edge data engineering technologies to drive efficiency and innovation. My expertise spans across Snowflake, ETL processes, AWS, PySpark, and Athena, among other pivotal and advanced data processing frameworks and cloud technologies, including Airflow, Kubernetes, Python, AWS, Azure, and GCP, to design and implement robust data platforms and pipelines. With a foundational academic background, my career has been a journey of continuous learning and application of best practices in the field of data engineering.
Data Engineering developer in Pakistan (UTC+5)
I am a software craftsman specialized in building distributed infrastructure scalable for processing data at large scale and high speed. I build flexible systems by composing modular tools that can adapt changes faster. I have been passionately leveraging my skills and delivering software solutions for last 15+ years in different industries. I envision about the end goal of having maximum positive impact for my efforts. I enjoy sharing my knowledge, experiences and discoveries with others.
Data Engineering developer in Pakistan (UTC+5)
**Data Architect with 17+ years of experience in designing, implementing, and managing complex data solutions.** Proven track record in building scalable data warehouses, ETL pipelines, and data-driven applications. Proficient in \[list of relevant skills, e.g., SQL, Python, cloud platforms\]. Skilled at translating business requirements into technical solutions and collaborating with cross-functional teams. Passionate about leveraging data to drive business value and improve decision-making.
Data Engineering developer in Pakistan (UTC+5)
An Expert Data Scientist and AI developer with ~5+ experience in developing enterprise business insights and computer vision solutions for businesses. Develop predictive models for sale business and computer vision models for automation like robots and bots. I am managing end-to-end projects and teams with adaptive, collaborative, and excellent communication skills.
Data Engineering developer in Pakistan (UTC+5)
Results-oriented Senior Backend Engineer with 5+ years of experience in Python and data-pipelines (ETL). Specialized in developing, deploying, and optimizing ETL, micro-services, and web scraping tools. Proficient in AWS, Docker, Kubernetes, PostgreSQL, MS-SQL Server, and more. Proven ability to lead cross-functional teams, manage multiple projects, and deliver innovative solutions. Seeking a challenging role to leverage technical skills and leadership experience to drive efficiency and innovation.
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Ready to hire your ideal Data Engineering 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 Data Engineering 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 Data Engineering 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 Engineering developers can help keep your website up-to-date.
To hire a Data Engineering 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 Engineering developers effectively and efficiently. Hire full-time Data Engineering 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 Engineering 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 Engineering 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 Engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Engineering 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 Engineering 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 Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Engineering developers.
Some factors to consider when you hire Data Engineering 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 Engineering developers for hire.
Writing a good Data Engineering developer job description is crucial in helping you hire Data Engineering 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 Engineering 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 Engineering developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data Engineering 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 Engineering 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 Engineering developers to keep up with evolving technology and requirements.
You can find a variety of Data Engineering 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 Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Engineering 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 Engineering 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 Data Engineering 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 Engineering developers.
Every Data Engineering 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 Engineering 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 Data Engineering 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 Engineering 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 Engineering developers, you can rest assured that all remote Data Engineering 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 Data Engineering developers before we present them to you. As such, all the remote Data Engineering 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 Engineering developer in 72 hours, or find a full-time Data Engineering 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 Engineering developers.
Depending on the freelance developer job board you use, freelance remote Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Engineering 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 Engineering 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 Data Engineering 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 Engineering developers, check out our FAQs page.