Check out some of the candidates who recently joined.
We'll get in touch with you to understand your requirements and preferences.
Get 3 to 5 suitable, pre-vetted candidates in 48 hours.
Choose the candidate that aligns with your needs and we'll arrange an interview.
Once you decide, we'll take care of the onboarding process for you.
Receive the top 3-5 AI-interviewed profiles from our network within 2 days.
Only the best profiles vetted using AI and human intelligence make it to your inbox.
Significant cost benefit of hiring from India compared to your local talent for an equivalent work quality.
Talents from India are flexible to work in your preferred time zone.
Payroll, Administrative support, legalities of the talent are all managed under one roof.
Straightforward agreement with top-most flexibility and freedom.
Cancel without any obligations in cases of dissatisfaction, financial instability, or business slowdown.
Credibility in quality service fosters long-lasting client relationships.
Access the talent network of 3M+ professionals with 100+ skill sets
Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.
Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.
Uplers efficient, quick process and targeted approach helped us find the right talents quickly. The professionals they provided were not only skilled but also a great fit for our team.
Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.
Built for distributed data processing and SQL-like querying on Hadoop, Hive gives businesses the ability to turn massive datasets into efficient and actionable insights. But technology alone can't drive value, it requires expertise. Startups and product companies that hire hive developers secure the ability to extract real-time insights, optimize performance, and design scalable architecture supporting long-term growth.
Uplers provides AI-vetted talent, ensuring a seamless hiring experience. Our efficient process ensures profile shortlisting within 48 hours, allowing you to swiftly onboard qualified professionals within just 2 weeks. Additionally, we prioritize client satisfaction with our flexible terms, including a 30-day cancellation policy and a lifetime free replacement.
You can get the top 3.5% of AI-vetted profiles in less than 48 hours through Uplers. Once you finalize one of the most suitable Hive Developers, Uplers takes care of the entire hiring and onboarding formalities. This typically takes 2-4 weeks depending on your requirements and decision-making time.
The modes of communication through which you can get in touch with a hired Hive Developer include:
Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.
The average cost of hiring a Hive Developer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.
At Uplers, our screening process ensures a thorough evaluation of candidates' language proficiency, facilitated by our AI-vetting technology. Beyond linguistic skills, we prioritize cultural fitness to ensure seamless integration within your team, fostering a harmonious work environment and seamless collaboration.
A Hive developer is responsible for designing, developing, and managing Hive-based data systems within big data and data warehousing environments. The role involves writing efficient HiveQL queries, creating and optimizing data models, and transforming raw data into structured formats for analytics. A Hive developer also ensures data accuracy, improves query performance, integrates Hive with other Hadoop ecosystem tools, and supports business intelligence teams in accessing meaningful insights from large datasets.
By designing optimized data workflows and queries, a Hive developer enables businesses to process and analyze large datasets with greater speed and accuracy. The developer structures and organizes data to ensure faster retrieval, integrates Hive with other big data tools, and fine-tunes queries for better performance. This helps organizations handle massive data volumes efficiently, extract valuable insights, and make informed business decisions in less time.
When evaluating candidates, a hiring manager should look for expertise in HiveQL, Hadoop, and data warehousing concepts. A Hive developer must have hands-on experience with ETL processes, data modeling, and performance optimization. Knowledge of big data tools like Spark, HDFS, and Pig adds value. Strong analytical, problem-solving, and data accuracy skills are essential for efficient and reliable data management.
By applying best practices in data structuring and query design, a Hive developer ensures optimal performance within Hadoop ecosystems. The developer uses techniques like partitioning, bucketing, and indexing to minimize data scans, fine-tunes query execution plans, and optimizes resource usage. This approach enhances query speed, improves system efficiency, and ensures faster data processing for analytics and reporting.
In integration projects, a Hive developer connects Hive with data platforms and BI tools to enable seamless data flow and reporting. The developer sets up data pipelines, configures connectors, and ensures compatibility with systems like Spark, Tableau, or Power BI. By maintaining data consistency and optimizing transfer processes, a Hive developer helps businesses access accurate insights from multiple data sources through a unified analytics environment.
Through well-defined data validation, schema management, and quality checks, a Hive developer ensures accuracy and consistency across large-scale projects. The developer implements strict data governance policies, manages access controls, and monitors data lineage to maintain transparency. By automating validation processes and following best practices in data handling, a Hive developer helps organizations maintain reliable, compliant, and high-quality data systems.
To ensure smooth, reliable, and high-performing ETL workflows, a Hive developer should follow these key best practices:
Following these practices helps create scalable, efficient, and trustworthy data pipelines that support effective analytics and business insights.
To ensure smooth performance, a Hive developer analyzes query logs, execution plans, and system metrics to locate bottlenecks. The developer rewrites queries, uses partitioning, bucketing, and caching, and adjusts resource configurations for optimal efficiency. By addressing data distribution issues and validating results through testing, a Hive developer helps maintain fast, stable, and high-performing data operations.
By building efficient data models and optimized queries, a Hive developer enables seamless reporting and analytics on large datasets. The developer structures data for easy access, integrates Hive with BI tools like Tableau or Power BI, and ensures accurate aggregation for dashboards and reports. With these capabilities, a Hive developer helps businesses gain real-time insights, track performance metrics, and make informed, data-driven decisions.
A company should consider hiring a Hive developer when projects involve complex data warehousing, advanced querying, or large-scale analytics within the Hadoop ecosystem. While general big data engineers handle broader infrastructure and processing tasks, a Hive developer specializes in HiveQL optimization, schema design, and data structuring for faster insights. Bringing in a Hive developer ensures better query performance, efficient data organization, and more reliable analytics for decision-making.
