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Recently Added Data Warehouse Developers in our Network

Aman Sharma

Aman SharmaProfile Badge IC

Data Engineer3 Years of Exp

Experienced Data Engineer adept at designing and maintaining scalable data pipelines. Skilled in Apache Spark, Hadoop, SQL, and Python scripting. Proven track record of optimizing ETL processes and ensuring data integrity. Collaborative team player with strong analytical skills and passion for problem-solving. Effective communicator able to translate technical concepts for non-technical audiences. Ready to drive business growth through innovative data solutions.

Chanchal Chaudhary

Chanchal ChaudharyProfile Badge IC

SAP Datasphere Consultant | SAP Analytics COE Team6 Years of Exp
  • SQL
  • Data Modelling
  • Analytical
  • Problem Solving
  • Collaboration
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Experienced Senior Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in SAP BI (SAP NATIVE HANA, Datasphere, BW), Analytical Skills and Data Analytics.

Harish Rao

Harish RaoProfile Badge IC

Technical Lead12 Years of Exp
  • Data Analysis
  • SQL
  • Shell Scripting
  • ETL
  • Data Migration
  • PLSQL
  • View all (9)

Seeking a position to utilize my skills and abilities in the Information Technology Industry that offers professional growth while being resourceful, innovative, and flexible.

Jaimin Patel

Jaimin PatelProfile Badge IC

Data Engineer12.7 Years of Exp
  • Classification
  • Cnn
  • Computer Vision
  • CUDA
  • decision tree
  • View all (8)

An accomplished Data Scientist with over 13 years of extensive experience, adept at conceptualizing, architecting, and sustaining scalable Machine Learning models encompassing automated training, validation, monitoring, and reporting mechanisms. Proficient in a spectrum of advanced domains including GenAI, Natural Language Processing, Pattern Recognition, Sequence Analysis, Time Series, and Prediction. Demonstrated track record of leading and executing more than 20 end-to-end machine learning and AI initiatives, contributing expertise to each project's successful implementation. seeking a challenging position as a Data Scientist where I can leverage my expertise in developing and deploying complex data science and analytics projects to support the commercial organization.

Manohara DN

Manohara DNProfile Badge IC

Technology Lead17 Years of Exp
  • Data Analysis
  • SQL
  • Azure
  • ETL
  • DevOps
  • Functional Testing
  • View all (8)

As Senior Data Engineer working on to migrate from SAS OnPrem to SAS Viya Altair on Cloud. Would like to explore further on SAS Tools, migration to SAS Viya, Cloud Technologies etc.

MOHAMED THANVEER

MOHAMED THANVEERProfile Badge IC

Data Engineer3.11 Years of Exp
  • Python
  • Apache Spark
  • PySpark
  • SparkSQL
  • Azure
  • Azure Data Factory
  • View all (9)

Data Engineer with nearly 4 years of experience in designing and implementing scalable data platforms for both on-prem and cloud solutions. Hands-on experience in designing and developing complex data pipelines using Databricks, Azure Data Factory/Azure Synapse to achieve business and data requirements. Good experience in working on cloud platforms such as AWS and Azure using technologies like Databricks, Azure Synapse, Azure Function App, and Snowflake. Detailed experience in handling issues in projects, proactive client communication and project management, determined leadership, and dynamic client relations.

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30 Days Cancellation

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Top Clients Reviews

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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.

Barış Ağaçdan
Director
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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.

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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.

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Uplers' talents consistently deliver high-quality work along with unmatched reliability, work ethic, and dedication to the job.

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Case Studies of Tech Companies

Why Hiring Data Warehouse Developers is Key to Optimizing Your Business Data

Data can be found everywhere. Businesses now have a lot of information available to them, from customer conversations and sales information to studying social media activity.

Frequently Asked Questions

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 Data Warehouse 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 Data Warehouse Developer include:

  • Email
  • Phone
  • Messaging apps such as WhatsApp, Slack, or Microsoft Teams

Uplers offers a 30-day cancellation policy at no extra cost and lifetime free replacement.

The average cost of hiring a Data Warehouse Developer from Uplers starts at $2500. The number varies depending on the experience level of the developer as well as your requirements.

View Our Pricing For 2024 - 25

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.

Yes, Data Warehouse developers are in high demand as businesses rely on data-driven decision-making. They are essential for designing scalable, high-performance data warehouses, integrating big data technologies, and optimizing analytics for industries like finance, healthcare, and e-commerce.

Data Warehouse developers are focusing on cloud-based solutions, real-time data processing, and AI-driven analytics. Trends include adopting Snowflake and BigQuery, integrating data lakes, using automation for ETL pipelines, enhancing security, and leveraging multi-cloud architectures for scalability and performance optimization.

Hiring via Uplers is 40-50% more cost-effective than in-house hiring because:

  • No overhead for HR, benefits, or compliance
  • No infrastructure or office costs
  • High-quality engineers at competitive rates

This allows SaaS startups to scale without excessive costs.

Uplers' AI-powered hiring ensures:

  • Automated job-to-talent matching
  • AI-based skill assessments
  • Pre-vetted candidates for faster onboarding

This removes manual screening delays and speeds up hiring.

We ensure high retention by:

  • Providing dedicated account managers
  • Facilitating upskilling & training programs
  • Ensuring proactive issue resolution

This results in higher productivity and long-term commitment.