GCP Data engineer

We have an immediate opening for

#Automation Testing with #Python for TOP MNC Company with Permanent position.

QA Automation- Python with Selenium

Skills : Automation Testing, Python, Robot framework, API Testing.

Exp : 6+

Np : Immediate Joiners.

Location – Bangalore.

#HiringAlert

We are looking "Hyperion Planning" for Reputed Client @ Chennai Permanent Role.

• Experience: 6+ yrs

Skills :

•Proven experience with Hyperion Planning version 11.X version or EPM Cloud

•Extensive experience in developing and maintaining Hyperion Planning and Essbase applications

•Strong understanding of ASO and BSO cube development

•Independently handle metadata build and security

•Expert level knowledge in writing business rules

•Knowledge of writing basic SQLs

•Experience with SmartView, web forms, financial reports, MDX queries and MXL scripting

•Oracle Relational Database experience and FDMEE experience is a plus

•Deep functional and technical knowledge of financial systems and business processes, especially around planning, budgeting, forecasting

•Apply structure knowledge to solve problems, break down issues and identify solutions.

•Strong oral and written communication skills are essential for this role

•The ability to work independently and be proactive

•Knowledge of integration between external systems

•Analytical and assessment skills essential

•Proven experience in providing system support and direct contact with users to solve issues with business applications

Location : Chennai & WFH

Work timing: 11 AM to 8 PM

Korevariance is looking for a detail-oriented individual to join us as a Remote Data Entry Operator. This is a Full Time/ Part Time Position, This position is for anyone in the United States and Canada, You can work from home and your phone or Tablet with us. We are seeking a detail-oriented data entry operator to compile, capture, and maintain our digital database. As a data entry operator, you will be required to compile, merge, and format documents for data entry, check documents for errors, input data update the database, and manage the digital filing systems. To be a successful data entry operator, you should possess excellent typing skills and be attentive to detail. Skilled data entry operators should be able to quickly identify data errors and demonstrate precision in their work.

Responsibilities:

Gathering, collating, and preparing documents, materials, and information for data entry.

Researching to obtain information for incomplete documents and materials.

Creating digital documents from paper or dictation.

Reviewing all documents and information for accuracy and informing the supervisor of any errors or inconsistencies.

Capturing data into digital databases and performing regular backups.

Updating and maintaining databases, archives, and filing systems.

Monitoring and reviewing databases and correcting errors or inconsistencies.

Generating and exporting data reports, spreadsheets, and documents as needed.

Performing clerical duties such as filing, monitoring office supplies, scanning, and printing as needed.

Requirements:

Excellent typing abilities.

Excellent time management and multitasking abilities.

Proficiency in data capturing and office management software such as MS Office and Google Suite.

The ability to manage and process high volumes of data accurately.

Good understanding of databases and digital and paper filing systems.

Knowledge of administrative and clerical operations.

A keen eye for detail and the ability to concentrate for extended periods.

Excellent verbal and written communication skills.

We've Got The Perks:

Work from Home

Paid Training

Incentives for Bilingual Spanish Speakers

Full-time and Part-time options are available

New 32-hour Full-time work week available (benefit eligible)

Full-time employees are eligible for Medical, Dental, Vision, Life Insurance, Supplemental Benefits, and 401K

Flexible scheduling

Growth opportunities

• NLP 

• ML programming
• Spark
• Model Deployment
• Experience processing unstructured data and building NLP models
• Experience with big data tools pyspark
• Pipeline orchestration using Airflow and model deployment experience is preferred

About us:

we are recruiting company specialized in IT based in Tokyo, Japan. we are expanding and looking for potential candidate to work as a recruiter. There will be ample of opportunities to explore and learn specially advanced and international market like Japan.

We are looking for a Senior IT Recruiter with minimum 5 years of full-cycle recruiting experience, from talent sourcing and attracting candidates to interviewing and hiring great employees.

Responsibilities:

• Develop and update job descriptions and job specifications.
• Source and recruit candidates by using databases, social media etc.
• Screen candidates resumes and job applications.
• Conduct interviews using various reliable recruiting and selection tools/methods to filter candidates within schedule.
• Assess applicants’ relevant knowledge, skills, soft skills, experience and aptitudes.
• Act as a point of contact and build influential candidate relationships during the selection process.
• Coordinate with candidate and client.

Requirements

• Proven work experience as a IT Recruiter
• Hands on experience with various selection processes (video interviewing, phone interviewing, reference check etc.)
• Excellent communication and interpersonal skills
• Familiarity with HR databases, Applicant Tracking Systems (ATS).

We have best incentives like Weekly Mini Rewards, Quarterly, Bonus on the top of salary, team gatherings.

We are looking for a resilient, empathic business development executive to contribute to the growth of our company. You'll be responsible for finding and retaining clients, encouraging extant clients to purchase added services or products, and remaining abreast of changes in consumption. You will also be required to build capacity in staff through regular training and mentorship.

1. Contacting potential clients to establish rapport and arrange meetings.
2. Planning and overseeing new marketing initiatives.
3. Researching organizations and individuals to find new opportunities.
4. Increasing the value of current customers while attracting new ones.
5. Generating new business opportunities and closing them.
6. Finding and developing new markets and improving sales.
7. Developing quotes and proposals for clients.
8. Developing goals for the development team and business growth and ensuring they are met.
9. Training personnel and helping team members develop their skills.
10. Maintain knowledge of all services and products offerings of the company.
11. Arrange meetings for senior management with prospective clients.
12. Follow company guidelines and procedures for the acquisition of customers, submission of tenders, finalize and close deals, etc.

In your role you will:

• Be an active member of the GSS Fi management team in Global Centre Pune driving strategic and people orientated change programs.
• Manage a team of professionals delivering/processing the full cycle of cash allocation, cash management, accounts receivable and master data management
• Oversee and steer the day to day operation and delegate responsibilities across your team such that key performance indicators are consistently delivered.
• Build, coach and develop your team.
• Ensure that stakeholder requests are handled with professionalism and positive service attitude while ensuring that delivery is according to defined SLA.
• Establish and maintain close and professional partnerships with internal stakeholders.
• Streamline internal processes to ensure the most efficient operational standards.
• Review and manage exception reports, KPIs, and other key indicators of performance/output.

• Multinational company experience in a shared service organisation (preferably in businesses like ours)
• Strong communication skills, both written and oral
• Several years experience in managing Credit collections teams to drive performance.  Must be organised and goal oriented.
• Solid knowledge in double entry book keeping (you don’t have to be a qualified accountant)
• Experience in creating and presenting cash flow forecasts to Regions and Group Treasury.
• Drive high quality Balance sheet reconciliations (Accounts receivable and Bank account)
• Experience in arranging payments (daily cash mobilisation) in the Regions that are being supported, which means multi-currencies.  This will also mean Legal Entity (LE) deposit maintenance and tracking.
• Credit Card payment processing and reconciliation
• Given we use Oracle, driving more automation to improve efficiency would be a good thing.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics