• Should have development experience in Python
• Should have good understanding of Bi, ETL, Data Engineering Knowledge.
• Good understanding of SQL or PL/SQL
• Should be able to lead the team technically
• Good communication and interpersonal skills.
• Good to have knowledge in GCP
Responsibilities
• Should have development experience in Python
• Should have good understanding of Bi, ETL, Data Engineering Knowledge.
• Good understanding of SQL or PL/SQL
• Should be able to lead the team technically
• Good communication and interpersonal skills.
• Good to have knowledge in GCP
Salary : Rs. 10.0 - Rs. 12.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
[Job Title]
Senior dashboard engineer with ELK skills
[Technology and Sub-technology]
• ELK and python with data science
• Sub Technology: Docker, data testing and verification
[Base Location]:
• Bangalore
[Type]:
• Hybrid
[Qualifications]
• BTech/BE/MTech/ME
• 2 to 5 Years.
[Job Overview]:
Develop operational dashboards and reports using ELK stack and python.
[Primary Skills]:
Should be able to create data/indexes using python.
Should be able create frontend dashboard using Kibana
Knowledge on logstash log analysis.
Good communication and interpersonal skills
[Good to have Skills]:
• Python scripting , kubernetes
[Responsibilities and Duties]:
Create databases using python .
Develop operational dashboards and reports using ELK stack.
Work on the technology area assigned.
[Keywords]
• Dashboard engineer, ELK Engineer, Python, docker ELK
Responsibilities
[Job Title]
Senior dashboard engineer with ELK skills
[Technology and Sub-technology]
• ELK and python with data science
• Sub Technology: Docker, data testing and verification
[Base Location]:
• Bangalore
[Type]:
• Hybrid
[Qualifications]
• BTech/BE/MTech/ME
• 2 to 5 Years.
[Job Overview]:
Develop operational dashboards and reports using ELK stack and python.
[Primary Skills]:
Should be able to create data/indexes using python.
Should be able create frontend dashboard using Kibana
Knowledge on logstash log analysis.
Good communication and interpersonal skills
[Good to have Skills]:
• Python scripting , kubernetes
[Responsibilities and Duties]:
Create databases using python .
Develop operational dashboards and reports using ELK stack.
Work on the technology area assigned.
[Keywords]
• Dashboard engineer, ELK Engineer, Python, docker ELK
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Level Matrix-Command Centre Operation
Category: L2
IMS rate card
Experience: 4- 6 yrs relevant.
Mandatory skills: IT infrastructure knowledge , Python , Control M - L2 , Cloud knowledge (public / private)
Tech/ Ops - Production support
Detailed Job description:
• Ability to monitor the infrastructure alerts and take action to resolve the events
• Escalate to business as needed
• Perform Health checks to ensure the start & end of business hours
• To have knowledge on IT infrastructure able to bridge calls to the business incase of known incidents
• Ability to work in shifts 24 x 7
• Sound knowledge & hands on experience on WIN & Unix L1 skill
• knowledge on Control M scheduling - L2
• Have knowledge on handling ITSM services such as Service now , Jump , HP ITSM added advantage
• Perform risk reviews of the environment and raise new risks where/when applicable
• Good hand-on in cloud migration ( Private/Public)
• Exposure to Api development/migration
• Understanding of GIT based source code management
Profile Required
• Candidates with good communication & analytical skills
• Excellent knowledge on IT Infrastructure
• Practical knowledge on windows/Unix
• Good knowledge in Monitoring infrastructure
• Rotational Shift 24 x 7 support erstanding of ITIL concepts in Operations (Incident,Change,Prob)
• Rotational Shift 24 x 7 support
• UNX / WIN - L1 skill
• Need to have practical experience in Python scripting for automation dev
• Exposure to API development & cloud migration
• Strong understanding of Event Management (Monitoring tools) in Infrastructure
• Able to handle Incident crisis calls
Responsibilities
Level Matrix-Command Centre Operation
Category: L2
IMS rate card
Experience: 4- 6 yrs relevant.
Mandatory skills: IT infrastructure knowledge , Python , Control M - L2 , Cloud knowledge (public / private)
Tech/ Ops - Production support
Detailed Job description:
• Ability to monitor the infrastructure alerts and take action to resolve the events
• Escalate to business as needed
• Perform Health checks to ensure the start & end of business hours
• To have knowledge on IT infrastructure able to bridge calls to the business incase of known incidents
• Ability to work in shifts 24 x 7
• Sound knowledge & hands on experience on WIN & Unix L1 skill
• knowledge on Control M scheduling - L2
• Have knowledge on handling ITSM services such as Service now , Jump , HP ITSM added advantage
• Perform risk reviews of the environment and raise new risks where/when applicable
• Good hand-on in cloud migration ( Private/Public)
• Exposure to Api development/migration
• Understanding of GIT based source code management
Profile Required
• Candidates with good communication & analytical skills
• Excellent knowledge on IT Infrastructure
• Practical knowledge on windows/Unix
• Good knowledge in Monitoring infrastructure
• Rotational Shift 24 x 7 support erstanding of ITIL concepts in Operations (Incident,Change,Prob)
• Rotational Shift 24 x 7 support
• UNX / WIN - L1 skill
• Need to have practical experience in Python scripting for automation dev
• Exposure to API development & cloud migration
• Strong understanding of Event Management (Monitoring tools) in Infrastructure
• Able to handle Incident crisis calls
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
5+experience in data engineering, data operations, IT, analytics teams or equivalent required.
3+experience in designing, engineering, and implementing cloud data solutions, collaborating with the business to build enterprise scale data solutions to support machine learning, artificial intelligence and analytics required.
3+of cloud data development solutions, PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management, microservice frameworks, container orchestration required.
2+ experience with SAFe agile for cloud data engineering and transformation required.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
1. Develop and implement machine learning algorithms and models.
2. Collaborate with cross-functional teams to understand project requirements and deliver scalable ML solutions.
3. Clean, preprocess, and analyze large datasets to extract meaningful insights.
4. Fine-tune models using techniques such as hyperparameter tuning and cross-validation.
5. Deploy machine learning models into production environments.
6. Monitor model performance and make necessary adjustments to ensure optimal functionality.
7. Stay updated with the latest advancements in machine learning techniques and technologies including Gen AI.
8. Communicate complex technical concepts and findings to non-technical stakeholders effectively. Additional Skills:
- Strong communication skills to collaborate effectively with team members and stakeholders.
- Ability to work independently and manage multiple tasks simultaneously.
- Flexibility to adapt to changing project requirements and priorities.
- Creative thinking to develop innovative solutions to complex problems.
- Attention to detail to ensure accuracy and reliability of machine learning models.
- Continuous learning mindset to stay updated with emerging technologies and best practices in the field of machine learning and data science.
- Proficiency in Python programming language is must for machine learning and data analysis.
- Strong understanding of machine learning concepts such as supervised and unsupervised learning, time series forecasting, feature engineering, model evaluation, etc.
- Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of software development practices including version control (e.g., Git), code review, and testing.
- Excellent problem-solving and analytical skills.
- Familiarity with deep learning architectures and frameworks.
- Experience with natural language processing (NLP) techniques and libraries.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud or Streamlit for deploying and managing machine learning models.
- Experience in building and deploying containerized applications using Docker or Kubernetes.
- Familiarity with SQL and NoSQL databases for data manipulation and querying.
- Experience in working with distributed computing environments.
- Strong mathematical background including linear algebra, calculus, and statistics.
Responsibilities
1. Develop and implement machine learning algorithms and models.
2. Collaborate with cross-functional teams to understand project requirements and deliver scalable ML solutions.
3. Clean, preprocess, and analyze large datasets to extract meaningful insights.
4. Fine-tune models using techniques such as hyperparameter tuning and cross-validation.
5. Deploy machine learning models into production environments.
6. Monitor model performance and make necessary adjustments to ensure optimal functionality.
7. Stay updated with the latest advancements in machine learning techniques and technologies including Gen AI.
8. Communicate complex technical concepts and findings to non-technical stakeholders effectively. Additional Skills:
- Strong communication skills to collaborate effectively with team members and stakeholders.
- Ability to work independently and manage multiple tasks simultaneously.
- Flexibility to adapt to changing project requirements and priorities.
- Creative thinking to develop innovative solutions to complex problems.
- Attention to detail to ensure accuracy and reliability of machine learning models.
- Continuous learning mindset to stay updated with emerging technologies and best practices in the field of machine learning and data science.
- Proficiency in Python programming language is must for machine learning and data analysis.
- Strong understanding of machine learning concepts such as supervised and unsupervised learning, time series forecasting, feature engineering, model evaluation, etc.
- Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of software development practices including version control (e.g., Git), code review, and testing.
- Excellent problem-solving and analytical skills.
- Familiarity with deep learning architectures and frameworks.
- Experience with natural language processing (NLP) techniques and libraries.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud or Streamlit for deploying and managing machine learning models.
- Experience in building and deploying containerized applications using Docker or Kubernetes.
- Familiarity with SQL and NoSQL databases for data manipulation and querying.
- Experience in working with distributed computing environments.
- Strong mathematical background including linear algebra, calculus, and statistics.
Salary : Rs. 12.0 - Rs. 18.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Help customers of the data streaming platform to onboard, publish and consume events.
Monitor and troubleshoot issues reported by our automation, alerts or customers.
Collaborate with the team to automate components and processes, streamlining data movement and improving efficiency.
Support senior engineers in testing activities, ensuring the reliability and quality of the implemented solutions.
Contribute to documentation efforts, documenting design specifications and development guidelines.
Participate in code reviews, providing feedback and suggestions to improve code quality and maintainability.
Gain familiarity with relevant technologies and tools used in metadata activation and data management.
Collaborate with team members to deliver assigned tasks within the specified timeframe.
Assist in the design and implementation of metadata activation solutions in alignment with Data Mesh and Data Fabric principles.
Responsibilities
Job Description:
Help customers of the data streaming platform to onboard, publish and consume events.
Monitor and troubleshoot issues reported by our automation, alerts or customers.
Collaborate with the team to automate components and processes, streamlining data movement and improving efficiency.
Support senior engineers in testing activities, ensuring the reliability and quality of the implemented solutions.
Contribute to documentation efforts, documenting design specifications and development guidelines.
Participate in code reviews, providing feedback and suggestions to improve code quality and maintainability.
Gain familiarity with relevant technologies and tools used in metadata activation and data management.
Collaborate with team members to deliver assigned tasks within the specified timeframe.
Assist in the design and implementation of metadata activation solutions in alignment with Data Mesh and Data Fabric principles.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
-We are looking someone who have minimum 5+ experience in SQL/PLSQL.
-Real time experience in Python API Development, preferably fast APIs
- 4+ years of experience in Python
-Good exposure to AWS with basic services like S3, API, Lambda etc.
Responsibilities
Description:
-We are looking someone who have minimum 5+ experience in SQL/PLSQL.
-Real time experience in Python API Development, preferably fast APIs
- 4+ years of experience in Python
-Good exposure to AWS with basic services like S3, API, Lambda etc.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Annotation Specialist with a strong background of data analysis and with a burgeoning interest in image processing, meticulous approach to ensuring accurate and high-quality annotated datasets.
Proficient in annotation tools, detail and a commitment to maintaining data integrity. Skills in data annotation while exploring the dynamic realm of image processing.
Image processing techniques to contribute to cutting-edge projects at the intersection of data annotation and visual data analysis. Eager to collaborate with teams that value precision and innovation in the ever-evolving landscape of data science.
Skills
Python
Data Annotation
OpenCV
Basics of machine learning
Deep learning basics
Responsibilities
Data Annotation Specialist with a strong background of data analysis and with a burgeoning interest in image processing, meticulous approach to ensuring accurate and high-quality annotated datasets.
Proficient in annotation tools, detail and a commitment to maintaining data integrity. Skills in data annotation while exploring the dynamic realm of image processing.
Image processing techniques to contribute to cutting-edge projects at the intersection of data annotation and visual data analysis. Eager to collaborate with teams that value precision and innovation in the ever-evolving landscape of data science.
Skills
Python
Data Annotation
OpenCV
Basics of machine learning
Deep learning basics
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
