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Recently Added Big Data Developers in our Network

Abhinav Kumar

SDE-3Exp. 10 Years
  • Python Programming
  • Apache Spark
  • Apache Cassandra
  • acm
  • Airflow
  • Athena
  • AWS EC2
  • Big Data Technologies

10 years of experience in enterprise strategy, enterprise data architecture and IT project/program delivery. Capability to develop technical solutions to complex business problems from Proof-of-Concept POC to development, testing, production implementation and support.

Manmohan Tyagi

Multi-Cloud ArchitectExp. 15.7 Years
  • Pyspark
  • Kafka/Flink/Spark
  • AWS
  • Hadoop OR Hive OR HBase
  • Java
  • Public Cloud Architecture
  • Kubernetes

Manmohan Tyagi is a seasoned Cloud Architect and Big Data Engineer with an impressive 14 years of hands-on experience. He is a certified expert in AWS, GCP, and Azure cloud technologies, including AWS Developer, AWS Solutions Architect, and GCP Cloud Architect/DevOps. Manmohan's expertise spans cloud migration, data engineering, and big data technologies such as Hadoop, Spark, Kafka, and Flink. He has extensive experience in designing and implementing data ingestion pipelines, data lakes, and data warehousing solutions on cloud platforms. His strong background in NoSQL databases and data modeling for data warehousing, coupled with proficiency in DevOps practices, CI/CD pipelines, and infrastructure as code, make him a well-rounded technical leader. Manmohan is also adept at programming languages like Java, Scala, and Python, and has developed expertise in microservices and serverless architectures. Additionally, he has demonstrated excellence in cloud security, compliance, and governance, as well as in leading and mentoring teams on complex enterprise-level projects.

Mohan Vankudoth

Power BI Architect Module LeadExp. 9.3 Years
  • Azure Data Factory
  • Power BI
  • Dataflow
  • Power BI Service
  • dax
  • Microsoft T-SQL
  • Datamart
  • SSRS

9 Years of experience in Data mining, Cleaning, Validation, Modelling, Analysis, Data Ware housing, Visualization, Statistical modelling with large data sets of Structured and Unstructured data with technologies Power BI, Tableau, Azure SQL, Azure Analysis service, SSAS, Dataflow, DataMart, Datahub, Microsoft Fabric.

Parimal Panda

Principal Technical Product ManagerExp. 18 Years
  • Product Management
  • Data Engineering
  • Business Intelligence
  • Program Management
  • Delivery management

Innovation driven experience in Product Engineering & Delivery Management involving Solution Architecture, Program Management, Data Engineering & Practice Management in Fintech,Banking & Regulatory Compliance products & services.

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Various Skills that Big Data Developers Possess

Access the talent network of 1.5M+ skilled professionals with 100+ skill sets

  • Data visualization
  • Data mining
  • Machine learning
  • Java
  • Python
  • Scala
  • Hadoop
  • Spark
  • Hive
  • Pig
  • MapReduce
  • NoSQL
  • MySQL
  • PostgreSQL
  • Amazon redshift
  • Google BigQuery
  • SnowFlake
  • Apache Kafka
  • Flum
  • Strome
  • Apache NiFi
  • Talend
  • Informatica
  • AWS
  • Azure
  • Google Cloud
  • Tableau
  • Power BI
  • Shell scripting
  • Bash
  • Automation tools
  • GitHub
  • Bitbucket
  • Docker
  • Kubernets
  • Jenkins
  • Data encyption
  • TensorFlow
  • PyTorch
  • MLIib

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Candice Marshall
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Candice Marshall
Candice MarshallChief Marketing Officer

Case Study

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Why Hiring Big Data Developers is Crucial for Modern Businesses

Aren’t you constantly looking for ways to harness data and make better decisions that drive innovation in the data-driven world? Big data has emerged as a fundamental asset and having skilled big data developers on board is critical to unlock your business’s full potential.

Whether you are working with large data volumes or complex data processing, to hire big data developers is the need of the hour for sustainable business growth. Let’s understand this better in the subsequent sections of this blog.

  1. Understanding the Importance of Big Data Developers

    Big data developers are experts specializing in managing and analyzing vast data sets. They work with a range of technologies, from Hadoop to Spark, and build the infrastructure needed to process and store data efficiently. By hiring big data engineers, you can ensure that your SaaS business has the needed expertise to transform raw data into actionable insights.

    Key benefits of hiring big data developers include:

    • Optimized data processing

      Big data developers help your business to efficiently process massive datasets and ensure that data is organized and accessible for analysis.

    • Scalability

      As data needs grow, hiring a big data developer ensures that your infrastructure scales seamlessly without performance bottlenecks.

    • Real-time insights

      Developers can design systems that process data in real-time, offering immediate insights crucial for agile decision-making.

    For your SaaS company, big data engineers are especially important because they can handle the integration of cloud infrastructure, analytic tools, and real-time data processing.

  2. How Big Data Developers Add Value to SaaS Companies

    In an increasingly data-dependent world, especially SaaS companies, the reliance on vast amounts of data is high. It helps enhance your offerings and offer value to your clients. Hiring software engineers skilled in big data analytics has a crucial role in ensuring that the data used for business decisions is clean, actionable, and value-adding.

    SaaS Companies need big data developers for the following reasons:

    • Data integration

      Big data developers help in integrating data from distinct sources, offering a unified view for SaaS companies. This is critical to provide clients with accurate insights.

    • Analytics and reporting

      These developers are skilled in setting up powerful analytics systems, enabling you to deliver accurate, actionable reports to your clientele.

    • Machine learning integration

      Many SaaS businesses utilize machine learning to analyze data and predict trends. When you hire big data developers they integrate these algorithms into the infrastructure seamlessly.

  3. Why Big Data Development is Key to Long-term Growth

    Data can only add value if it can be effectively processed and analyzed. As businesses expand and generate more data, a strong big data development team becomes essential. Big data developers ensure that systems are in place for handling this growth, offering the opportunity to scale with uncompromised performance.

    Key contributions to business growth include:

    • Performance optimization

      As the data volume increases, a big data developer helps ensure that data processing is fast and reliable.

    • Cost efficiency

      Effective data management helps to save costs in the long run, optimizing the use of storage, processing power, and resources.

    • Advanced analytics

      With the right big data strategy, your SaaS business can leverage advanced analytics to drive innovation and stay ahead of the competition.

    Hiring these professionals helps your SaaS businesses to create a foundation that fosters both immediate and long-term expansion. These developers are essential to secure your company's future, particularly given the exponential growth of data.

    To hire big data developers is no longer a luxury for businesses looking to scale, but a necessity. From enhancing product offerings to offering actionable insights, big data developers have a crucial role to play in unlocking the full data potential. By bringing on board experienced data engineers you can ensure that your data is not just managed effectively but also leveraged for growth and innovation. Putting money into these professionals is a step toward creating a solid, data-driven future.

FAQs

Why should you choose Uplers for hiring Big Data Developers?

Uplers provide 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.

How quickly can I hire an Big Data developer through Uplers?

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 Big Data 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.

What are the modes of communication through which we can get in touch with a hired Big Data Developer?

The modes of communication through which you can get in touch with a hired Big Data Developer include:

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

What if I am not okay with the Hired Big Data Developers and would like to change the resources or end the engagement?

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

What is the average cost of hiring an experienced remote Big Data Developers?

The average cost of hiring a Big Data Developer from Uplers starts at $1500. The number varies depending on the experience level of the developer as well as your requirements.

Can I expect absolute English proficiency for the Big Data Developer hired through Uplers?

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.

Are Big Data Developers still in demand?

Yes, Big Data Developers are still in high demand as businesses increasingly rely on data-driven decision-making. With the rise of AI, cloud computing, IoT, and real-time analytics, companies need skilled developers to process, store, and analyze massive datasets efficiently, ensuring optimal performance and business insights.

What are the latest trends in Big Data Developers?

The latest trends in Big Data development include AI-driven analytics, real-time data processing, edge computing, cloud-based big data solutions, and enhanced data security. Technologies like Apache Spark, Kubernetes, and serverless architectures are gaining traction, while businesses prioritize scalable, cost-efficient, and AI-integrated big data solutions for advanced decision-making.

How does Uplers ensure business continuity for SaaS and product teams during disruptions?

Uplers diversifies resource locations, such as hiring from India alongside existing teams, ensuring operational stability during unexpected events like power outages or natural disruptions.

How does Uplers manage team performance and updates for SaaS companies?

Uplers assigns a dedicated account manager and talent success coach to:

  • Monitor performance.
  • Provide structured feedback.
  • Ensure alignment with client expectations.

What kind of training does Uplers provide for SaaS-specific roles?

Uplers facilitates onboarding by:

  • Collaborating with SaaS companies to use client-provided training materials.
  • Ensuring candidates are well-versed in the tools, processes, and guidelines specific to the role.

What’s the process for finalizing social media requirements for SaaS companies?

Clients provide detailed job descriptions and specify resource needs. Uplers then proposes vetted profiles aligned with these requirements.