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Recently Added Hadoop Developers in our Network

Rohan Jethure

Rohan JethureProfile Badge IC

Senior Associate Technology7.5 Years of Exp

Big Data Developer• Total experience: 8+ years of experience in software design and development with Hadoop, Spark, Scala, Microsoft Azure (Eventhub, Azure HDInsight, Azure AppInsight, Key-vault, BlobStorage, Cosmos DB), Jenkins, Hive• Experience in building low latency data pipeline using spark streaming• Worked on various phases of Product Development Life Cycle in variety of technical areas like design, development, production Support.• Worked in programming languages - Java, Scala and shell scripting.• Worked on ETL side to extract, transform, load data.• Worked on GIT Repository to maintain the code.• Explored the Azure services like Appinsight, key-vault, Blob Storage, Cosmos DB, Eventhubs• To ingest the data from source eventhub using Spark-Scala• Transform the ingested data and Store the output data to Target cosmosDB and update the checkpoint location to Azure Blob-storage• Validated the data from target eventhub and debugging the code.• Run the Streaming job on Azure HDinsight cluster.• Have done unit testing by writing test cases.• Have done code coverage on sonarquebe.• Have done code review on GIT while sending merge request.

Sunando Bhattacharya

Sunando BhattacharyaProfile Badge IC

Lead Data Engineer8 Years of Exp
  • Java
  • AWS
  • Hadoop
  • Jenkins
  • Git
  • Scala
  • Hive
  • 3d
  • PySpark
  • Apache Kafka
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A collaborative engineering professional with substantial experience in designing and executing complex business problems involving large scale data. Overall experienced in building highly scalable, robust and fault tolerant systems.Tech stack that I have worked in :Big Data Ecosystem: HDFS, YARN, Map Reduce, Apache Spark 2.2, Hive, Oozie• SQL Technologies: Teradata, DB2, SQL Server, Oracle 10g• NoSQl Technologies: MongoDB• Programming Languages: C, C++, Java, Python, C#• ETL Tools: SAS Data Integration• Real Time Data processing: Apache Spark Streaming• Operating Systems: Redhat, Ubuntu, MS Windows• Cloud Services Used: EC2 AWS Instances, Azure WebApps, kinesis, S3, EC2, Eventhub

Vikas Thakur

Vikas ThakurProfile Badge IC

Senior Software Engineer8 Years of Exp
  • Java
  • Spark
  • Spring
  • Aerospike
  • Amazon Web Services
  • Angular
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As an experienced Software Development Engineer with 5.5 years of experience, I have a strong background in Java, Spring, AWS, Aerospike, data structures and algorithms, MySQL, Redis, and Kafka.I am passionate about leveraging my skills to build scalable and robust software systems that solve complex problems. Throughout my career, I have gained extensive experience in designing and developing applications, building APIs, optimizing database performance, and integrating third-party services.My expertise in data structures and algorithms has enabled me to write efficient and optimized code, while my experience with AWS and other cloud technologies has helped me to build highly scalable and reliable applications. I am also experienced in working with NoSQL databases such as Aerospike and Redis, as well as message brokers such as Kafka.I am constantly seeking new challenges and opportunities to grow and expand my skill set. If you are looking for a skilled software developer with a passion for building innovative solutions, I would love to connect with you.Feel free to reach out to me to discuss potential opportunities or to learn more about my skills and experience.

Kaushik Sharma

Kaushik SharmaProfile Badge IC

Senior Associate Data Engineering L19 Years of Exp
  • Agile Methodology
  • Analytical Skills
  • Communication Skills
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Senior Data Engineer, proficient in designing and developing DataPipeline, deliver Data Integration, Governance and Wrangling solutions. Tech Evangelist with great analytical and logical skills, possessing work experience of overseeing the facets of Big Data platform setup, expansion, and maintenance. Expert in heading the deliveries and experienced in full stack Big Data development using various Big Data tools.

Tushar Singhal

Tushar SinghalProfile Badge IC

Data Engineer II9 Years of Exp
  • HTML / CSS
  • Python
  • Hadoop
  • Jenkins
  • Git
  • DynamoDB
  • Ansible
  • Lambda
  • EC2
  • View all (12)

9+ years in Data engineering with expertise in building large-scale distributed systems, including data platforms and modernizing data systems. Recently focused on developing a high-scale dynamic Data Ingestion Platform at Intuit. Skilled in creating data products for the retail and finance industries, ensuring data compliance and governance. Experienced in technical optimizations and performance tuning for large-scale data pipelines, enhancing response times and ensuring timely data delivery.

Shubham mishra

Shubham mishraProfile Badge IC

Data Engineer5 Years of Exp
  • Data Engineering
  • SQL
  • MySQL
  • Azure
  • 3d
  • RDBMS
  • 組込みLinux
  • Windows
  • Spark
  • View all (12)

A System -related, result-oriented Big data Professional looking forward for career in Big Data and machine learning based technologies that offers professional and organizational growth.

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A professional data strategy has become the hallmark of success in the modern business world across sectors. Organizations today deal with large amounts of data. This necessitates the utilization of the right tools and talent to manage and optimize such massive data opportunities.

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 Hadoop 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 Hadoop 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 Hadoop 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 2025 - 26

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, Hadoop developers are still in demand, especially for big data processing in enterprises. While newer technologies have emerged, Hadoop remains crucial for large-scale data storage, batch processing, and analytics in industries like finance, healthcare, and telecom.

Hadoop developers are focusing on cloud integration, real-time analytics, and AI-driven data processing. Trends include migrating Hadoop workloads to cloud platforms, integrating with Apache Spark for faster processing, leveraging Hadoop with AI/ML pipelines, and enhancing security and scalability for big data applications.

For urgent roles, Uplers:

  • Provides vetted profiles within 3-4 business days
  • Has an AI-vetted talent network of 3M+ professionals
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This minimizes hiring delays and ensures quick project execution.

Uplers ensures quality through:

  • AI + Human Intelligence Vetting Process (technical screening, AI-driven assessments, communication tests, cultural fit analysis, and final review)
  • Live coding assessments for development roles
  • Performance tracking for ongoing engagements

This guarantees top-tier talent that meets business needs.

Pricing is based on:

  • Candidate's skill level & experience
  • Full-time vs. part-time vs. project-based hiring
  • Market benchmarks to ensure fair pay

Uplers provides transparent pricing with customizable engagement models.

Uplers minimizes risks through:

  • 14 to 30-day replacement guarantees
  • Flexible exit clauses in hiring contracts
  • Continuous candidate performance tracking

This ensures high retention and reduced hiring failures.

Absolutely. We offer flexible hiring models that enable you to onboard experienced Hadoop Developers from India who are aligned with your preferred working hours, whether in IST, CST, GMT, or any other time zone. Developers have successfully collaborated with global teams in the USA, UK, EU, Australia, and beyond, delivering high-quality results that meet international standards. It's a simple, efficient, and proven way to scale your development without compromising on quality.