8000+
Certified Learners
15+
Years Avg. faculty experience
40+
Happy Clients
4.5/5.0
Average class rating
ABOUT DataOps Freelancers
DataOps Freelancers are skilled professionals specializing in the practices, tools, and processes that streamline and enhance the efficiency of data management and analytics pipelines. They work on integrating data engineering, data analytics, and DevOps principles to ensure seamless collaboration, automation, and orchestration of data workflows. These experts assist organizations in optimizing data pipelines, maintaining data quality, implementing robust data governance practices, and enabling real-time analytics solutions. With their deep expertise in tools like Apache Airflow, Kubernetes, and various cloud platforms, DataOps Freelancers help companies accelerate data-driven decision-making, reduce operational bottlenecks, and achieve agility in handling complex data ecosystems. Their services are invaluable for organizations seeking flexible, on-demand expertise to build or enhance their DataOps capabilities.
Why Choose Our DataOps Freelancers?
Expertise Across Data Operations: "Our DataOps freelancers come with extensive hands-on experience in the latest data management tools and methodologies. They understand the intricacies of cloud environments, automation, and real-time data processing. With expertise in industry-leading tools like Apache Kafka, Apache Airflow, AWS, and Google Cloud, our freelancers help accelerate your data operations to keep up with business demands."
Hiring a DataOps freelancer from Xopsscool ensures that your project is handled by top-tier professionals who bring a unique combination of technical expertise and practical experience. Whether you need help with automating pipelines, integrating disparate data sources, or scaling your data architecture, our freelancers are ready to deliver results. Their technical proficiency and problem-solving skills will enable you to implement the best practices and optimize your data processes for efficiency, scalability, and performance.
Seamless Collaboration and Flexibility: "Our freelancers are not just experts—they are adaptable collaborators who seamlessly integrate with your existing team and processes. Whether you're working remotely or on-site, they can quickly align with your goals and workflows, ensuring that your project stays on track and within scope." By working with our freelancers, you gain the flexibility to scale your team and adjust resources as needed. Whether you require short-term assistance for a specific project or long-term support for ongoing data management tasks, our freelancers are adaptable and can work within your budget and timeline.
Benefits of Hiring DataOps Freelancers
Cost-Effective and Scalable: "Freelancers provide a flexible, cost-effective solution for businesses looking to scale their data operations. By hiring freelancers, you can access top-tier expertise without the overhead of hiring full-time employees. You only pay for the services you need, when you need them, making it an ideal solution for businesses of all sizes." Hiring DataOps freelancers allows you to scale up or down depending on project requirements, without the long-term financial commitment of a permanent hire. This flexibility gives you the agility to react to changes in business needs and market conditions. Quick Time-to-Market: "With our DataOps freelancers on board, your project will progress at a faster pace. Whether you’re developing new data systems or optimizing existing ones, our freelancers bring both speed and quality to the table, helping you achieve your data goals in less time." Faster project timelines lead to quicker realization of business value. With our freelancers’ expertise, you can streamline your data operations and reduce time-to-market, ensuring that you remain competitive and responsive to your industry’s demands.
Why DataOps Freelancers Are Crucial
Accelerating Data Transformation: "In today’s fast-paced business environment, leveraging data is key to staying ahead. DataOps freelancers help you accelerate data transformation by automating workflows, reducing manual intervention, and ensuring your data pipelines are scalable and resilient. They enable your organization to make faster, more informed decisions based on reliable, real-time data." By working with DataOps freelancers, you ensure that your data operations are agile and responsive. Their ability to automate and optimize processes ensures that you can harness the full potential of your data, empowering your organization to move faster and innovate more efficiently. Improving Data Governance and Security: "Data governance and security are critical concerns in modern data management. Our freelancers are well-versed in best practices for ensuring data integrity, quality, and compliance with regulations such as GDPR and CCPA. They will implement robust data governance frameworks that safeguard your data while optimizing performance."
Instructor-led, Live & Interactive Sessions
DURATION |
MODE |
PRICE |
ENROLL NOW |
|---|---|---|---|
60 Hrs |
Self learning using Video |
9,999/- |
|
60 Hrs |
Live & Interactive in Online Batch |
24,999/- |
|
60 Hrs |
One to One Live & Interactive in Online |
59,999/- |
|
2 - 3 Days (Approx) |
Corporate (Online/Classroom) |
Contact US |
Calendar |
AGENDA OF THE DATAOPS FREELANCERS Download Curriculum
- Definition of DataOps and its importance in modern data management.
- Core principles of DataOps: collaboration, automation, and continuous improvement.
- Key differences between DataOps, DevOps, and traditional data management.
- Types of services offered by DataOps freelancers (consulting, implementation, automation, etc.).
- Skills and tools required for effective DataOps management (e.g., Apache Airflow, Docker, Kubernetes, CI/CD pipelines, cloud platforms).
- Benefits of hiring DataOps freelancers: flexibility, scalability, and expertise.
- Introduction to data pipeline architecture.
- Automating data collection, transformation, and storage processes.
- Best practices for optimizing performance and ensuring scalability.
- Ensuring data quality through monitoring and alerting mechanisms.
- Implementing data security practices: encryption, authentication, and access control.
- Data privacy compliance (GDPR, CCPA, etc.).
- Role of DataOps freelancers in ensuring strong governance frameworks.
- The importance of collaboration between data engineers, analysts, and business teams.
- Enabling cross-functional teams to work seamlessly through automated workflows.
- Leveraging version control and CI/CD practices to ensure smooth deployment cycles.
- Implementing cloud-native solutions: AWS, Azure, Google Cloud, etc.
- DataOps in multi-cloud environments and managing data across different clouds.
- Scaling data pipelines and infrastructure on demand.
- Setting up real-time data streaming and analytics (e.g., Apache Kafka, Spark).
- Monitoring and maintaining pipelines for continuous performance improvements.
- Key metrics to track for optimal performance and early issue detection.
- Best practices for identifying and resolving common DataOps issues.
- Performance tuning, debugging, and resolving data pipeline failures.
- Continuous feedback loops for improving data operations.
- Showcasing successful DataOps implementations by freelancers.
- Lessons learned and best practices derived from real-world projects.
- Open forum for questions and discussions.
- Connecting DataOps freelancers with potential clients or project teams.
PROJECT
As part of this projects, we would help student to have first hand experience of real time software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help students to visualize a real development environment, testing environment and production environments. The goal of this project. Project technology would be Java, Pythong and DOTNET and based on microservices concept..
INTERVIEW
As part of this, You would given complete interview preparation support until you clear a interview and get onboarded with organziation including demo inteview and guidance. More than 50 sets of Interview KIT would be given including various project scenario of the projects.
OUR COURSE IN COMPARISON
| FEATURES | XOPSSCHOOL | OTHERS |
|---|---|---|
| Faculty Profile Check | ||
| Lifetime Technical Support | ||
| Lifetime LMS access | ||
| Top 25 Tools | ||
| Interviews Kit | ||
| Training Notes | ||
| Step by Step Web Based Tutorials | ||
| Training Slides | ||
| Training + Additional Videos |
DataOps skills are essential for every software engineer because they enable the creation, automation, and optimization of data workflows, which are crucial for modern software development. As data becomes more integrated into business decision-making, engineers with DataOps expertise can ensure that data flows efficiently, securely, and in real time across systems. These skills help engineers streamline processes, scale data infrastructure, and collaborate more effectively with cross-functional teams. With DataOps knowledge, software engineers can drive automation, maintain data quality, and deliver faster, more reliable solutions, making them indispensable in today’s data-driven environment.
- Streamlined Data Pipelines: Our DataOps freelancers specialize in automating and optimizing data pipelines, ensuring smooth and efficient data flow between systems. They help reduce manual intervention, minimize errors, and improve the overall speed of data processing.
- Scalable Cloud Integration: With expertise in cloud platforms like AWS, GCP, and Azure, our freelancers can integrate your data operations with scalable cloud solutions, making your infrastructure flexible, cost-effective, and capable of handling growing data demands.
- Enhanced Data Quality & Governance: Our freelancers implement robust data quality checks and governance frameworks to ensure that your data is accurate, consistent, and compliant with regulations. This helps prevent data issues and mitigates risks related to data privacy and security.
- Faster Delivery & Continuous Improvement: By setting up CI/CD pipelines and leveraging automation tools, our freelancers enable faster delivery of data-driven solutions. They also continuously optimize and improve the data operations to adapt to new challenges and requirements, ensuring long-term efficiency.
- Basic Programming Knowledge: Familiarity with programming languages such as Python, SQL, or Java is essential for understanding and developing data pipelines, scripts, and automating data workflows.
- Understanding of Data Concepts: A solid grasp of data management concepts, including ETL (Extract, Transform, Load), data modeling, and database design, is important to ensure data is processed effectively.
- Experience with Databases: Knowledge of relational and non-relational databases (e.g., MySQL, MongoDB, PostgreSQL) is crucial for managing, querying, and integrating data across systems.
- Cloud Platform Familiarity: Basic understanding of cloud platforms like AWS, Google Cloud, or Azure, as our DataOps freelancers often work in cloud-based environments to scale and manage data systems.
- DevOps/Automation Experience (Optional): Familiarity with DevOps practices, version control (e.g., Git), and CI/CD tools is helpful, as DataOps integrates with continuous integration and automation workflows.
- Familiarity with Data Processing Tools: Experience with tools like Apache Kafka, Apache Airflow, or other data orchestration platforms is a plus but not mandatory.
UPCOMING EVENTS - OTHER CERTIFICATION COURSES
October 2020
October 2020
October 2020
October 2020
October 2020
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DataOps Freelancers
What are the benefits of DataOps Freelancers certifications?
Certifications always play an important role in any profession. It is considered as one of the best way to determine one’s credibility and worth in the professional career. The same thing is applicable in DataOps, if you are a certified DataOps professional then you will get certain benefits:
- DataOps Freelancers certification assure recruiters that the DataOps professional whom we are going to hire have the skills, knowledge, and competency to perform the responsibilities what expected from them after hiring.
- DataOps as a technology is dominating the job market. DataOps engineer ranks #2 on Glassdoor's best jobs rankings. The role of DataOps certified professional has seen a 200% jump in postings on indeed" according to SD times report
- This certified course helps anyone who aspires to make a career as a DataOps professional.
- DataOps Certified Engineer is one of the most highly paid job roles in the world. Pay scale even for junior level DataOps practitioner is quite high.
- According to indeed and other job portals, 80% of the companies pay more than $90000 starting salary to a DataOps Certified Professionals. Also, 35% pay at least $115000 and 17% more than $125000
- Obviously there are several factors which affects salary for like geography, skills, company, it varies accordingly. In Cities like Bangalore/Hyderabad DataOps Certified Professional can expect - INR 3,25,672 - 19,42,394 which is not at all a bad package.
- DataOps is going to stay here for long time. Therefore, organizations and as well as professionals need to change as they have no choice but to evolve. If they will evolve then demands of certified professionals will definitely increase and the sooner you do it, the sooner you will be in a leading position.
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FREQUENTLY ASKED QUESTIONS
1. What is DataOps, and how can it benefit my business?
DataOps is a set of practices and tools designed to automate and streamline data operations, improving the speed, quality, and collaboration of data processes. By implementing DataOps, businesses can ensure faster, more reliable data delivery, reduce errors, and enhance collaboration between data engineers, developers, and operations teams.
2. How can a DataOps freelancer help my company?
A DataOps freelancer can assist in automating data workflows, optimizing data pipelines, integrating cloud services, ensuring data quality, and providing end-to-end support for managing and scaling your data operations efficiently.
3. What skills do your DataOps freelancers have?
Our DataOps freelancers are skilled in programming (Python, SQL), cloud platforms (AWS, Azure, GCP), data pipeline orchestration (Apache Airflow, Kafka), data storage (SQL/NoSQL databases), and automation tools for continuous integration and deployment (CI/CD).
4. What types of projects can a DataOps freelancer handle?
DataOps freelancers can handle a variety of projects, including automating data pipelines, cloud data integration, optimizing ETL processes, setting up real-time data streaming, implementing data governance frameworks, and improving data quality.
5. Do I need an in-house team to work with a DataOps freelancer?
No, our DataOps freelancers can work independently or integrate seamlessly with your existing team, whether remote or in-house, to execute the project efficiently.
6. How do I get started with hiring a DataOps freelancer?
Simply post your project details on our platform, specifying the skills and expertise you need. We'll match you with qualified freelancers who meet your requirements, and you can begin collaborating with them right away.
7. Can a DataOps freelancer work on a long-term project?
Yes, our freelancers can be engaged for both short-term and long-term projects, depending on your needs. Whether it’s a one-time data pipeline implementation or ongoing data operations management, we offer flexible engagement options.
8. What are the benefits of hiring DataOps freelancers over full-time employees?
Hiring freelancers allows you to scale your team based on project requirements, reduces overhead costs, and provides access to specialized expertise without the commitment of a full-time hire. You also benefit from faster turnaround times and flexible contract terms.
9. How are freelancers vetted for quality?
Our freelancers go through a comprehensive vetting process that includes technical assessments, interviews, and review of their past projects. They must demonstrate proven experience and expertise in DataOps practices.
10. How do I communicate with my DataOps freelancer?
Our platform supports various communication channels, including messaging, email, and video calls. We ensure clear, ongoing communication throughout the project to meet deadlines and deliverables.
11. Can a DataOps freelancer help me with cloud data infrastructure?
Yes, our freelancers are experienced in cloud platforms like AWS, Azure, and GCP, and can assist with setting up cloud-based data pipelines, data storage, security configurations, and scaling your infrastructure.
12. How long does it take to complete a DataOps project?
The timeline depends on the complexity and scope of the project. Small tasks like automating a basic data pipeline may take a few weeks, while more complex projects like building scalable cloud data architectures can take several months.
13. Will I be able to maintain the data pipeline after the project is done?
Yes, our freelancers provide thorough documentation and knowledge transfer, and can also offer post-project training or support to ensure your team can maintain and troubleshoot the system independently.
14. What tools do DataOps freelancers use?
Our freelancers work with a wide range of tools such as Apache Kafka, Apache Airflow, DBT, Prefect, Jenkins, Docker, Kubernetes, and cloud services like AWS S3, Lambda, GCP BigQuery, and Azure Data Lake, among others.
15. What if I'm not satisfied with the freelancer's work?
We have a satisfaction guarantee policy. If you're not happy with the work, we will help resolve the issue, provide an alternative freelancer, or work with you to ensure the project meets your expectations.
16. How are payments handled for freelancers?
Payments are typically handled on an hourly, milestone, or fixed-price basis, depending on your project agreement. We ensure that payments are made securely through our platform once project milestones are completed to your satisfaction.
REVIEWS
Abhinav Gupta, Pune
(5.0)The training was very useful and interactive. Rajesh helped develop the confidence of all.
Indrayani, India
(5.0)Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.
Ravi Daur , Noida
(5.0)Good training session about basic DataOps concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.
Sumit Kulkarni, Software Engineer
(5.0)Very well organized training, helped a lot to understand the DataOps concept and detailed related to various tools.Very helpful.
Vinayakumar, Project Manager, Bangalore
(5.0)Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.
Abhinav Gupta, Pune
(5.0)The training with Xopsschool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.
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