Tele-Caller

About Company:

​GEVME is a Singapore based fast growing leading virtual & hybrid event and engagement platform for building unique experiences. It is used by event professionals worldwide to build, operate and monetise virtual events for some of the biggest brands. The flexibility of the platform provides them with limitless possibilities to turn any virtual event idea into reality. We have already powered hundreds of thousands of events around the world for clients like Facebook, Netflix, Starbucks, Forbes, MasterCard, Singapore Government.

We are a product company with a strong engineering and family culture; we are always looking for new ways to enhance the event experience and empower efficient event management. We’re on a mission to groom the next generation of event technology thought leaders as we grow.

Join us if you want to become part of a vibrant and fast-moving product company that's on a mission to connect people around the world through events.

Do check out our platform GEVME.

Location: Remote/Work From Home

What you'll be doing:

• Writing reusable, testable, and efficient code in Node.js for back-end services.
• Ensuring optimal and high-performance code logic for the data from/to the database.
• Collaborating with front-end developers on the integrations.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Preparing technical specification documents for the developed features.
• Providing technical recommendations and suggesting improvements to the product.
• Writing unit test cases for APIs.
• Documenting code standards and practicing it.
• Staying updated on the advancements in the field of Node.js development.
• Should be open to new challenges and be comfortable in taking up new exploration tasks.

Skills:

• 4-6 years of strong proficiency in Node.js and its core principles.
• Experience in test-driven development.
• Experience with NoSQL databases like MongoDB is required
• Experience with MySQL database
• RESTful/GraphQL API design and development
• Docker and AWS experience is a plus 
• Extensive knowledge of JavaScript, PHP, web stacks, libraries, and frameworks.
• Strong interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude
• Experience with version control system like Git
• Knowledge about the Software Development Life Cycle Model, secure development best practices and standards, source control, code review, build and deployment, continuous integration

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

Skills required

·      Certified in Google Analytics (any popular certifier)

·      A minimum of 4+ years of experience in the web analytics domain

·      Consolidated knowledge of the GA4 platform

·      Excellent communication skills (written & verbal)

·      Good understanding of Analytics, Tag Manager, and Data Studio.

·      Basic knowledge of BigQuery & JavaScript

·      Familiar with HTML, CSS and Javascript, and will have the ability to read, reuse and customise code

·      Advanced understanding of Events Tagging and Custom dimensions.

·      Hands-on experience with data visualization (custom dashboards)

Roles and Responsibilities

·      Responsible for managing our Analytics (G4) and GTM accounts

·      Implementation of highly effective web data analytic solutions

·      Visualize customer behavioral data such as page/path analysis, clickstream, funnel progression, CTA optimization, page/site abandonment, etc.

·      Implement tagging and configuration that ensures data collection is accurate and adequate based on the business needs

In-depth knowledge in the following areas.

·      Determine tracking requirements.

·      Create functional and technical design (Dom Scrapping & Custom HTML) of the tags.

·      Install GTM container tag on the live/staging websites.

·      Create, publish and test tags on the live/staging websites.

·      Able to track the successful form submission.

·      Do regular Tag audits for the live/staging websites.

·      Coordinate with the marketing heads to understand and develop custom reports and dashboards.

·      Create specified digital analytics tagging standards to ensure robust and consistent data capturing.

·      Testing and validating the tracking using various debugging tools.

Application Integration Engineer -

Key Skills:

·        Knowledge of various Integrations approaches:

o  Native connectors

o  API – schema, design

o  ODBC

o  SFTP files

·        Experience integrating SaaS solutions.

o  Financial applications:

§ Ideally: Oracle NetSuite, Workday Adaptive

§ Nice to have: Coupa, Concur, Expensify, Avalara

o  CRM applications:

§ Ideally: Microsoft Dynamics

§ Nice to have: Salesforce, Hubspot Sales, various sales tools

·        Experience with key Microsoft Azure services: mainly data extraction (i.e., Data Factory), databases (SQL), storage (Data Lake), analytics 

·        Ability to work with data, including ETL

·        Nice to have - Knowledge of coding languages: Java script, XML, REST, etc.

·        Experience working with global teams

·        Ability to overlap some work hours with US EST/CT time

·        Solid communication skills

·        Proactive, takes initiative, outspoken

Experience

·        6 - 9 years

• Design and Build sophisticated and highly salable apps using Flutter.
•  Translate and Build the designs into high-quality responsive UI code.
•  Write efficient queries for core Data.
•  Use of Model-View-Controller (MVC) and Model-View-ViewModel-Controller (MVVM) architecture and develop maintainable, testable and functional software that meets product requirements.
•  Resolve any problems existing in the system and suggest and add new features in the complete system.
•  Follow the best practices while developing the app.
•  Use CI/CD for smooth deployment.
•  Document the project and code efficiently.
•  Manage the code and project on Git to keep in sync with other team members and managers.
•  Suggest new features and/or enhancements.
•  Maintaining software through product life cycle including design, development, verification and bug fixes.
•  Write tests for the App.
•  Knowledge of different state management libraries like BloC,  GetX, Provider will be a plus point.

Minimum of 8 years of experience of which, 4 years should be of applied data mining

experience in disciplines such as Call Centre Metrics.

 Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.

 Experience with leading and managing large teams.

 Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.

 Demonstrated experience with Business Intelligence/Data Mining tools to work with

data, investigate anomalies, construct data sets, and build models.

 Critical to share details on projects undertaken (preferably on telecom industry)

specifically through analysis from CRM.

AWS Data Engineer:

Job Description

• 3+ years of experience in AWS Data Engineering.

• Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data

• Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)

• Should have knowledge in SQL and NoSQL programming languages.

• Have worked on batch and real time pipelines.

• Excellent programming and debugging skills in Scala or Python & Spark.

• Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.

• Must have experience in Production migration Process

• Nice to have experience with Power BI visualization tools and connectivity

Roles & Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications

• Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.

• Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.

• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.

We have job openings for our Client E Productivity Services. Kindly find the details below:

Payroll will be ToppersEdge.com India Pvt Ltd working for the client E Productivity Services.

(C2H position – 3^rd Party payroll for long term)

Job Descriptiom

Experience – 5-10 years

Minimum 4 + years of experience in Automation testing, Java and Selenium

Mandatory Skills - Automation testing, Java and Selenium

Look for 0-20 days notice period.

 Budget is maximum 13 LPA.