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Good understating or hand's on in Kafka Admin / Apache Kafka Streaming.
Implementing, managing, and administering the overall hadoop infrastructure.
Takes care of the day-to-day running of Hadoop clusters
A hadoop administrator will have to work closely with the database team, network team, BI team, and application teams to make sure that all the big data applications are highly available and performing as expected.
If working with open source Apache Distribution, then hadoop admins have to manually setup all the configurations- Core-Site, HDFS-Site, YARN-Site and Map Red-Site. However, when working with popular hadoop distribution like Hortonworks, Cloudera or MapR the configuration files are setup on startup and the hadoop admin need not configure them manually.
Hadoop admin is responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the hadoop cluster.
Hadoop admin is also responsible for deciding the size of the hadoop cluster based on the data to be stored in HDFS.
Ensure that the hadoop cluster is up and running all the time.
Monitoring the cluster connectivity and performance.
Manage and review Hadoop log files.
Backup and recovery tasks
Resource and security management
Troubleshooting application errors and ensuring that they do not occur again.
ob Description :
Mainframe Developer/Analyst
Combination of COBOL, JCL, VSAM with DB2 – Resources need to be strong developers.
Technical Skills:
• 5 to 10 years of Hands on Development experience
• Very good Hands-on in Cobol, JCL, VSAM, Db2, Mainframe Utilities,
- Strong Coding experience in COBOL, JCL, DB2, VSAM.
- Work experience in CICS / MQ series.
- Strong analytical skills to analyze complex code independently and extract business rules.
- Willingness to WFO (5 days WFO) (No WFH).
- JAVA / JSON will be added advantage.
• Ability to design, code, unit test, turnover, implement and support the changes.
• Writing and executing the unit test scenarios/cases to ensure the code quality and reliability.
• Deep understanding of all lifecycle components (code, test, deploy)
• Ability to present designs to peers and Product Owner for approval.
• Troubleshooting and debugging code to resolve technical issues.
• Optimizing application performance to ensure efficient use of software resources.
• Good verbal and written communication and interpersonal skills
Process Skills:
- Should have worked in Agile Project
Behavioural Skills:
- Good Communication skills
Overview:
We are hiring for multiple positions at our apparel retail store, suitable for both freshers and experienced store managers. If you have a passion for fashion, love interacting with customers, and want to grow in the retail industry, we’d love to hear from you.
Open Roles:
- Fashion Consultant (Fresher): Assist customers, provide styling advice, maintain store displays, and support daily sales.
- Store Manager: Lead the team, manage store operations, achieve sales targets, and ensure an excellent customer experience.
Requirements:
- For Fashion Consultant: Graduate, good communication skills, and customer-friendly attitude.
- For Store Manager: 3+ years of retail experience with team handling and target achievement skills.
Business Executive - Sales
Job brief:
- We are a company in the business of evolving people and have developed Excellence
Installation Technology which is a Trillion Dollar Industry and has been validated by
Forbes too.
- We are looking for an enthusiastic person to contribute in converting the enquiries to
customers for our company.
- Candidates will be responsible for closing sales deals over the phone and maintaining
good customer relationships.
- An effective Business Executive must be an excellent communicator and have superior
people skills.
- They must be comfortable presenting products or services over the phone as well as
dealing with complaints and doubts.
Responsibilities:
- Contact potential or existing customers to inform them about our product/service.
Answer questions about products or the company.
- Ask questions to understand customer requirements and close sales.
- Enter and update customer information in the database.
- Handle grievances to preserve the company’s reputation.
- Go the “extra mile” to meet business requirements and facilitate future sales.
- Keep records of calls and sales and note useful information.
Skills:
- Education and Salary no bar for the right candidate.
- Excellent conversational and interpersonal skills.
- Cool-tempered and able to handle rejection.
- Outstanding negotiation skills with the ability to resolve issues and address complaints.
- A vibrant person with a positive attitude who is ready to learn new skills and wants to
achieve something great for themselves.
- Preferably someone with Creative and Artistic side to their personality.
1. Must be graduate (BCA or B.Tech or MCA)
2. Minimum 1-6 years of experience
3. Should have strong knowledge in Microsoft business central and Microsoft Dynamics Nav
4. Strong knowledge of AL
5. Good communication skill
Work Location : Chennai
Experience Level : 5+yrs
Package : Upto 18 LPA
Notice Period : Immediate Joiners
It's a full-time opportunity with our client.
Mandatory Skills:Machine Learning,Python,Tableau & SQL
Job Requirements:
--2+ years of industry experience in predictive modeling, data science, and Analysis.
--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.
--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.
--Experience writing code in Python and SQL with documentation for reproducibility.
--Strong Proficiency in Tableau.
--Experience handling big datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.
--Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
--AWS Sagemaker experience is a plus not required.
Responsibilities for Data Engineer
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
As a UI Developer with 2+ years of experience
Strong with Javascript/ Typescript with good understanding of DOM
Experience with UI frameworks such as React/ Angular/ VueJS
Good with CSS/ SCSS/ SASS and handling responsive UI development
Experience using standard UI frameworks such as bootstrap, bulma, material ui etc
Ability to split code into logical components with impetus towards writing reusable components/ styles
Experience with handling state management, separation of layers with the right kind of abstraction
High Level JD:
* Experience in MVC, C#, http://asp.net/" target="_blank">ASP.NET, .NET Framework,Jquery, Javascript and HTML design.
* Experience with Elastic(Logstash, Elastic Search, Kibana )
* Strong understanding of Elasticsearch index configuration options.
* The elasticsearch work requires refactoring involving search engine understanding
* Database - Oracle, SQL Server
* Familiarity with architecture styles/APIs (REST)
* Understanding of Agile methodologies
* Excellent troubleshooting and communication skills
* Delivering a high-quality application
* Write clean, scalable code using .NET programming languages
* Revise, update, refactor and debug code
* Improve and support existing software





