11+ Apache HBase Jobs in Delhi, NCR and Gurgaon | Apache HBase Job openings in Delhi, NCR and Gurgaon

Key Responsibilities : ( Data Developer Python, Spark)

Exp : 2 to 9 Yrs 

Development of data platforms, integration frameworks, processes, and code.

Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages

Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.

Elaborate stories in a collaborative agile environment (SCRUM or Kanban)

Familiarity with cloud platforms like GCP, AWS or Azure.

Experience with large data volumes.

Familiarity with writing rest-based services.

Experience with distributed processing and systems

Experience with Hadoop / Spark toolsets

Experience with relational database management systems (RDBMS)

Experience with Data Flow development

Knowledge of Agile and associated development techniques including:

n 

- Budget - Up to 7.5 LPA + Incentives for experienced candidates and Fixed compensation of 5 LPA + incentives to Freshers.
- Location - Gurugram/Bangalore (Work From Home Until Further Notice) 

Ed-Tech Experience (Preferable, Not Mandatory)

Roles and Responsibilities : 

Your primary job responsibility will include (and not limited to): 

• Driving inquiries and admissions for the online and blended learning programs offered
• Looking after the entire sales lifecycle: starting from engaging with leads till the final conversion
• Counseling professionals via call, email, or in-person and suggesting the best course for prospective students
• Updating and maintaining MIS reports
• Coordinating with the marketing team to fine-tune marketing plans related to admissions
• The Employee will be involved in inside sales.

Skills : 

- A graduate.

- Prior experience in sales preferred.

- Freshers (Some internship experience should be there)

- Excellent interpersonal and communication skills.

Profile : Senior System Analyst

Experience :6.0 Year+

Job Location: Noida, Sec-62, ( Work From Office only )

Shift Time : Rotational shift 

Working Days : 6 Days 

https://www.thinksys.com/

JD Details:

Must-Haves (Technical)

● Experienced in

○ Network monitoring( Must )

○ DB and Cache monitoring

○ Kubernetes monitoring

○ Security events monitoring

○ Web server monitoring

○ Critical server level monitoring(Golden metrics) for distributed systems.

● Hands on experience in following monitoring tools :

○ ELK

○ Grafana ( Must )

○ Nagios (Must)

○ Cacti

○ RKE/Rancher

○ Splunk

○ Cloudtrail

● Hands on experience with the following APM tools :

○ NewRelic

○ AppDynamics ( Must )

○ Datadog ( Must )

● Experienced in the concept of Continuous Monitoring(CM).

● SME in combining multiple data sources to get a clear picture of production systems

● SME for creating alerts related to platform security in above tools.

● Strong knowledge of Linux and Windows environments.

● Strong knowledge of cloud environments.

Good To Have (Technical)

● Scripting for automation

○ Python

○ Bash

● Containerization

○ Docker (Basic knowledge)

● Container Orchestration

○ Kubernetes (Basic knowledge)

● Infrastructure as Code

○ Terraform (Basic knowledge)

What you need to have:

Experience: 3 to 5 years

Annual CTC: Rupees 7,50,000 to 10,00,000

• Day to day sourcing for the region (Maharashtra and Gujrat)
• Working closely with business development team and operations team to ensure the client expectations are properly met in terms of time and quality of sourcing
• Building and developing the required team to achieve the targets
• Driving efficiencies to maintain sourcing service levels and expanding margins of the region
• Building and implementing processes to increase the overall efficiency and reliability of the region
• Participating in cross-functional projects for high priority initiatives and bringing process and data-driven focused approach to support the organization's goals
• Driving change management to ensure efficient implementations of any new strategic change
• Collaborating closely with stakeholders like Operations, Finance, Product, Sales and New initiatives with the objective to drive stakeholder success
• Ensuring excellent customer and partner experience

Desired Candidate Profile

• Graduates from Tier 1/2 Engineering colleges/Post Graduate from Tier 1/2 Management colleges with good academic performance
• 4-8 years of frontline Operation/sourcing/channel management experience or P&L Management
• Strong leadership qualities to lead a large geographically spread team
• Ability to manage conflicts and good stakeholder management skills
• Multi-tasking capabilities and inter departmental coordination
• Product first mindset and relevant experience is a useful plus
• Experience in channel management in B2C space will be very useful
• A strong team sport background is a plus (showcasing the long term commitment and rigor)   

Responsibilities: 

• Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
• Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
• Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
• Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
• Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
• Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
• Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
• Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
• Drive analytics thought leadership and effectively contributes towards transformational initiatives.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.