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Amazon Web Services (AWS)We are #hiring for AWS Data Engineer expert to join our team
Job Title: AWS Data Engineer
Experience: 5 Yrs to 10Yrs
Location: Remote
Notice: Immediate or Max 20 Days
Role: Permanent Role
Skillset: AWS, ETL, SQL, Python, Pyspark, Postgres DB, Dremio.
Job Description:
Able to develop ETL jobs.
Able to help with data curation/cleanup, data transformation, and building ETL pipelines.
Strong Postgres DB exp and knowledge of Dremio data visualization/semantic layer between DB and the application is a plus.
Sql, Python, and Pyspark is a must.
Communication should be good
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Job Title: Senior Data Engineer
Experience: 8Yrs to 11Yrs
Location: Remote
Notice: Immediate or Max 1Month
Role: Permanent Role
Skill set: Google Cloud Platform, Big Query, Java, Python Programming Language, Airflow, Data flow, Apache Beam.
Experience required:
5 years of experience in software design and development with 4 years of experience in the data engineering field is preferred.
2 years of Hands-on experience in GCP cloud data implementation suites such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage, etc.
Strong experience and understanding of very large-scale data architecture, solutions, and operationalization of data warehouses, data lakes, and analytics platforms.
Mandatory 1 year of software development skills using Java or Python.
Extensive hands-on experience working with data using SQL and Python.
Must Have: GCP, Big Query, Airflow, Data flow, Python, Java.
GCP knowledge must
Java as programming language(preferred)
Big Query, Pub-Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage,
Python
Communication should be good.
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Data Science
Machine Learning (ML)Expert in Machine Learning (ML) & Natural Language Processing (NLP).
Expert in Python, Pytorch and Data Structures.
Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).
Strong experience in NLP, NLU and NLU using transformers & deep learning.
Experience in federated learning is a plus
Experience with knowledge graphs and ontology.
Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.
Experience working with scalable, highly-interactive, high-performance systems/projects (ML).
Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.
Working closely with business partners in defining requirements for ML applications and advancements of solution.
Engage in specifications in creating comprehensive technical documents.
Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.
Experience in Test Driven Development & Agile methodologies.
Good communication skills - client facing environment.
Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.
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Data ScienceMachine Learning (ML)
Deep LearningWork Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization
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About the company
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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As a company, we're just the right size for every person to take initiative and make things happen. Join us in reshaping the future of logistics and be part of a journey where your contributions make a tangible difference.
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