Design and develop scalable big data solutions using the Hadoop ecosystem. Gather requirements, implement data processing with Spark/MapReduce, integrate NoSQL stores (HBase, MongoDB, Cassandra), and use Hive, Sqoop, Oozie, and Flume. Mentor team members, work independently, and apply strong analytical and communication skills.
Company Description
Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.
Overall minimum 2 years of experience in Hadoop
- Thorough understanding of Hadoop Cloudera/HortonWorks/MapR and ecosystem components
- Thorough understanding of NoSQL databases like HBase, Mongo, Cassandra etc
- Requirements Gathering, designing and developing scalable big data solutions with Hadoop
- Strong technical skills on Spark, HBase, Hive, Sqoop, Oozie, Flume, Java, Scala, Pig, Python etc • Practical experience of implementation using Spark, M-R framework, databases and SQL
- Strong analytical & problem solving skills; proven teamwork and communication skills
- Must show initiative and desire to learn business
- Able to work independently and mentor team members
- Desirable: Hands-on experience with analytical tools, languages, or libraries (e.g. R)
- Total experience minimum 6-10 years
** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.
Note:-
1.This is a Full-Time & Permanent job opportunity for you.
2.Only US Citizen Green Card Holder can apply.
3.No GC-EAD, H4-EAD L2-EAD OPT-EAD, H1B & TN candidates please.
4.Please mention your Visa Status in your email or resume.
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and develop foundation models from design through production deployment. Collaborate with data scientists, software and machine learning engineers, and product managers to build scalable AI products. Research deep learning, language, graph, sequential, and behavioral models; optimize training and inference; reproduce emerging research; deliver platform or solution code; and publish internal or external technical findings.
Top Skills:
AWSAws UltraclustersDeep LearningDglHugging FaceLarge Language ModelsLightningPyTorchPytorch GeometricReinforcement Learning From Human Feedback (Rlhf)
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and support production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize model performance, scalability, latency, throughput, hardware utilization, and cost. Architect multi-model orchestration pipelines, lead technical governance and design reviews, define AI engineering standards, and mentor senior technical staff.
Top Skills:
AWSAws UltraclustersAzureC#C++CudaGoGCPHugging FaceJavaPythonPyTorchScalaVectordbs
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and build foundation models from design through production deployment. Partner with data scientists, software engineers, machine learning engineers, and product managers to develop scalable AI products. Lead research initiatives, optimize training and inference, evaluate emerging methods, translate research into business outcomes, and deliver model libraries or platform code. Work may focus on large language models, deep learning optimization, fine-tuning, robustness, explainability, or reinforcement learning.
Top Skills:
Aws UltraclustersCloud ComputingCompiler DesignDeep LearningGradient CheckpointingHugging FaceInstruction TuningLarge Language ModelsLightningModel CompressionModel SparsificationPyTorchQuantizationReinforcement Learning From Human FeedbackSelf-Supervised LearningSupervised Fine-TuningTransfer Learning
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

