Full TimeIt Includes:
Duration : 160 Hours/Month
Communication : Slack, Skype, Phone, Chat, Email, etc.
Hiring Period : Monthly
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Methodology: Agile


Our Big Data Expertise
Modern businesses have to deal with diverse data types, in large volumes, and more often than not, from disparate sources. This can be anything from customer transaction data, financial records, web logs, social media interactions, etc. Big data is the task of accruing diverse formats of data in large volumes and analyzing them at a rapid velocity for data-driven business insights. Between 2019 and 2025, Big Data services are expected to grow into a USD 5,356.8 million market.
As such, businesses need service providers that can dedicatedly assist them with Big Data-as-a-Service (BDaaS) operations. HourlyDeveloper is a Big Data services provider that assists businesses with Big Data technologies, by combining them with Cloud-native technologies, tooling, and practices. We employ an esoteric knowledge of data science, infrastructure, and technology to help your business gain strategic, and data-driven advantages over competitors.
HourlyDeveloper’s Big Data services are designed to maximize the value of your operations, so your brand can infer more complex insights that are out of your competitor’s reach. At HourlyDeveloper, we deal with a range of complex Big Data services like consultation, implementation, support, and more. We assist diverse businesses with data-driven transformations using prominent BDaaS services from Microsoft, Amazon, Oracle, and the like.
As a Big Data Development company, HourlyDeveloper can assist your business with strategic Big Data consultation. We can guide your in-house Big Data experts with data-driven roadmaps for data quality management, analysis, solution architecture, etc. Thanks to our guidance, your business can create custom recommendation engines by analyzing the conversion propensity, customer satisfaction, sentiment analysis, et al.
HourlyDeveloper consults, engineers, and implements data-driven Big Data pipelines for business enterprises, through real-time historical data batch processing, Machine Learning, data platform management, and end-to-end analytics. We can help your pipeline scale for smoother data ingestion, to collate multi-variant data from disparate sources, and monitor the same using intuitive interactive dashboards.
HourlyDeveloper assists businesses with Big Data architecture analysis, so brands have more clarity in terms of Big Data-Ops improvements, automation, data, and event-based infrastructure. We can assist your brand with Big Data best practices for preparation and visualization specific to your industry and customer needs w.r.t. Predictive maintenance, condition monitoring, demand forecasts, inventory planning, market segmentation, etc.
HourlyDeveloper’s Big Data analysis services include strong analytics practices for existing pipelines. We can scrutinize the pipeline performance and recommend better architecture solutions and designs. Our solution development includes SQL and NoSQL analysis from data lakes, DWH, ETL/ELT set-ups, big data reporting and dashboarding, and set-up of data governance (security and quality compliance).
Machine Learning is a big help in terms of data manipulation on distributed file systems. We can build machine learning models for prompt deployment using high-performance libraries with scalable, parallelized algorithms. We are equally adept at using Oracle Machine Learning for Spark R and Apache Hadoop HDFS, Spark DataFrames, and other JDBC sources.
Our Big Data support services include solution administration for existing Big Data pipeline problems. This could be with software innovation or pipeline scalability, or even implementation of Big Data schema on new processes. As a Big Data Development company, we can also assist with Big Data scrubbing, structuring, backup, recovery, solution health checks, solution performance monitoring, and troubleshooting.
Full TimeIt Includes:
Duration : 160 Hours/Month
Communication : Slack, Skype, Phone, Chat, Email, etc.
Hiring Period : Monthly
Project Trackers : Jira, Daily Reports, Basecamp, etc.
Methodology: Agile
User behavior tells us a lot about what they prefer, what they expect from a service, etc. As a business, you can capitalize on this customer profiling to tailor a service specific to customer needs, which in turn boosts their satisfaction and loyalty towards your brand.

HourlyDeveloper deals with all Big Data job requests in a time-sensitive fashion. Our Big Data specialists are quick to respond to your SRS with a quotation and advisory, so the requirement moves forward rapidly.

HourlyDeveloper has multiple service packages, a client-centric service. It helps ensure that our clients pay only for a service that is proportional to their operational scale.

We have certified Big Data experts who are proficient in the best practices and tooling applicable in the field. They can provide your brand with value-added Big Data services that benefit your brand long after we have met SLAs.

HourlyDeveloper’s big data solutions can help improve operational efficiency. Our preemptive Big Data inferences detect patterns and trends faster than your competition, so your strategic solutions reach the market on time.
Big Data development cost depends on project scope. A basic analytics setup may start around $10,000, while enterprise-scale platforms with real-time processing and machine learning can cost upwards of $50,000 or more. As a trusted Big Data Development Company, we provide clear, upfront estimates with no surprises.
Our Big Data Developer hourly rate ranges from $30 to $100 per hour, depending on the developer’s expertise, project complexity, and chosen technology stack. Whether you hire us for short-term or long-term Big Data development services, we offer transparent pricing with no hidden fees, making budgeting easier for your business.
Yes, our Big Data Consultant works with you during the early stages to understand your data challenges and recommend the right technologies and architecture. This saves time and costs later by ensuring you start your big data project on the right foot.
Our Big Data Developers are skilled in tools like Apache Hadoop, Spark, Kafka, Hive, and NoSQL databases like MongoDB and Cassandra. They also work with cloud platforms and machine learning frameworks to build powerful data-driven applications.
If you’re not sure which direction to take, our Big Data Consultant will work closely with you to understand your business goals and evaluate your current data setup. Based on that, we’ll suggest the best big data solutions—whether it’s real-time analytics, data warehousing, or AI-driven insights. Our Big Data Services are tailored to meet your specific industry challenges.
Definitely. Our Big Data Developers are experienced in working across various time zones. We ensure overlapping work hours for smooth collaboration, no matter if you’re based in the US, Europe, Australia, or the Middle East.
We offer both fixed-price and hourly billing models. For well-scoped projects, we recommend a fixed Big Data development cost. For evolving projects, hourly rates provide flexibility. Either way, you'll receive a transparent estimate before starting work.
We can usually kick off a new project within 1 to 2 weeks after initial discussions and requirement gathering. Once we understand your goals, we assemble a dedicated Big Data development services team to get started quickly.
We start with a detailed discussion of your goals and technical requirements. Then, we calculate the Big Data development cost based on estimated work hours, developer rates, tools, and cloud resources. We aim for complete cost transparency before the work begins.
If you hire a Big Data Developer hourly, the rate typically covers both development and minor consulting work. However, for detailed strategy planning or architecture design, we recommend engaging a dedicated Big Data Consultant for a more in-depth approach.