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Arc helps you find and hire top freelance DataStage engineers for your jobs. With 350,000+ software programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance DataStage developers and experts that you can trust.
DataStage developer in the United States
Driven Cloud Infrastructure Engineer and Full-Stack Developer with over 5 years of experience building and automating cloud environments and feature-rich applications. Expertise in AWS, Terraform, Kubernetes, and developing front-end and back-end services using React, Node.js, Python, and TypeScript. Proven track record of reducing deployment times by 85% through automation, optimizing APIs and databases, and enhancing scalability for high- availability systems. Adept at integrating and automating complex pipelines to deliver secure, performant, and scalable cloud solutions
Freelance DataStage developer in India
IBM Certified ETL Datastage Developer with having a good working experience of 7.6 Years in Both Banking and Insurance Domains worked for well reputed Banking and Insurance companies.
DataStage developer in Colombia
Thankfully for my training in the fields of engineering and especially in mechatronics, I have developed a strong attraction for technology, artificial intelligence and with a greater inclination in software development, I consider that I am a person with a high capacity for learning as well as easy adaptation to teamwork to be perfectly involved in meeting the objectives and goals set by the company, willing to learn and put my knowledge into practice.
Freelance DataStage developer in Portugal
• Over 15 years of professional experience in IT, with a demonstrated history of working in 12 succeeded projects related to Business Intelligence and data integration, for various industries. • Able to work in the full development life cycle of a BI project, from requirements analysis and collection to dimensional modeling for Data Marts/Data Warehouses. • Specialized in developing, supporting, and tunning of ETL processes, with more than 9 years of background. • Experienced in data migration, assisted in moving data from large, multi-tenant databases, from on-premises to cloud, and purely cloud integration (Azure and OCI). • Critical thinking, problem-solving, ease of communication, and teamwork.
Freelance DataStage developer in India
I am an IBM Datastage Developer with 8+ years of experience in designing and developing datastage jobs. Proficient in Datastage, SQL, PL/SQL, Unix script, Oracle, and experienced in performance tuning.
Freelance DataStage developer in India
With 11+ years in the IT industry, I have amassed valuable experience as both a DataStage Developer and a Team Leader. As a DataStage Developer, I honed my skills in ETL (Extract, Transform, Load) processes, working with large datasets to ensure efficient and accurate data flow within organizations. My proficiency in DataStage allowed me to contribute to the seamless integration of diverse data sources. Moreover, my journey included taking on leadership responsibilities as a Team Leader. In this capacity, I successfully guided and motivated my team, fostering a collaborative and innovative work environment. I played a pivotal role in project planning, execution, and delivery, ensuring that team members were equipped with the necessary resources and support to meet project objectives. Through this extensive tenure, I have not only deepened my technical expertise but have also developed strong leadership and communication skills. I remain committed to staying abreast of industry trends and driving continuous improvement within both my technical and leadership capacities.
Freelance DataStage developer in Canada
* Results-driven and highly skilled Data Engineer with over 16 years of IT experience in the implementation of Data warehousing projects using **Azure** (ADF, Databricks, ADLS/Azure Storage), **AWS** (S3 bucket, Glue, IAM, EMR, EC2, Athena, Redshift, Python/Scala, Databricks), **GCP** (BigQuery, Cloud Functions, GCS bucket, Terraform), **Spark (Scala/Python)**, **Talend**, **Informatica (Power Center, Power Exchange,** **Axon, EDC,** **BDE**, **IICS, IDQ), Data Stage**, **Alteryx**, **Syncsort DMExpress**, **Microsoft SQL Server (Azure)**, **Cognos** and **Oracle** **PL/SQL**. * Experience working on Kubernetes platform using docker, Jenkins and Rancher. * Proficient in spark and kafka streaming and Scala with a strong background in ETL processes, and real-time data processings. * Experience working on EMR clusters and using AWS components (S3 bucket, Glue, IAM, EC2, Athena, Lambda, Python/Scala, Databricks) in moving the data into **Amazon S3 bucket** in parquet/csv formats. * Used power exchange for CDC (for capturing the before and after image of the records from the oracle tables) * Experience working as a **Data Modeler**, both logical and physical and using Erwin data modeler tool. * Committed to delivering high-quality solutions that meet business needs and drive actionable insights. * Extensive experience as a Team/Tech Lead and leading a group of resources. * Experience in using **GitHub**, **Bamboo, SVN**, Docker image, bitbucket, Jira board. * Excellent experience in using the **Autosys, Airflow, Tidal, Tivoli** scheduling tool. * Used Unix shell script for file FTP, implementing complex business requirements like creating all the autosys jil files at one go (used as a common utility within the team).
Freelance DataStage developer in Portugal
Accomplished Azure Data Engineer with a strong track record of designing and implementing advanced data solutions in Azure Cloud, delivering successful projects with strategic impact. Expertise in architecting automated environments to optimize data assets and resources, proficient in Azure Cloud Shell, SQL Server, PowerShell, and Python to drive efficient and scalable data workflows.
DataStage developer in Brazil
Senior Data Engineer with over 8 years of experience in data engineering and solution architecture for Big Data, data lakes, and cloud computing (AWS, Azure, GCP). Extensive experience with Snowflake, Databricks, and Spark, optimizing data pipelines and storage scalability to achieve significant improvements in efficiency and processing speed. Proven expertise in technical leadership and data strategy implementation, resulting in cost reductions exceeding 50% and productivity gains of up to 5x. Driven to transform data into valuable insights and collaborate with teams to develop robust, scalable data solutions.
DataStage developer in the United States
Strategic and hands-on advanced analytics deployments and infrastructure. Analytics and IT director and engineer with 34 years’ senior level experience.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
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 DataStage developer, multiple developers, 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 DataStage developers can help keep your website up-to-date.
To hire a DataStage 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 DataStage developers effectively and efficiently. Hire full-time DataStage 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 DataStage engineers 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted DataStage 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 DataStage developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire DataStage programmers 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 DataStage 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 DataStage developers, consider niche platforms like Arc that naturally attract and carefully vet their DataStage developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote DataStage developer candidates.
Some factors to consider when you hire DataStage 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 DataStage developers for hire.
Writing a good DataStage developer job description is crucial in helping you hire DataStage programmers 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 DataStage 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 DataStage programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills DataStage 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 DataStage 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 DataStage developers to keep up with evolving technology and requirements.
You can find a variety of DataStage developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance DataStage programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote DataStage 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 DataStage 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 DataStage developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire DataStage developers.
Every DataStage developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in DataStage and breadth across the greater domain). 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 DataStage engineer 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 DataStage 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 DataStage 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 DataStage developers, you can rest assured that all remote DataStage 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 DataStage developers before we present them to you. As such, all the remote DataStage 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 350,000 candidates. You can also expect to hire a freelance DataStage programmer in 72 hours, or find a full-time DataStage programmer 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 DataStage developers.
Depending on the freelance developer job board you use, freelance remote DataStage developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find DataStage 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 DataStage 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 DataStage 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 DataStage developers, check out our FAQs page.