Lead Engineer - Data Quality

Key Responsibilities

• Lead the automation testing effort of our cloud management platform.

• Create and maintain automation test cases and test suites.

• Work closely with the development team to ensure that the automation tests are integrated into the development process.

• Collaborate with other QA team members to identify and resolve defects.

• Implement automation testing best practices and continuously improve the automation testing framework.

• Develop and maintain automation test scripts using programming languages such as Python.

• Conduct performance testing using tools such as JMeter, Gatling, or Locust.

• Monitor and report on automation testing and performance testing progress and results.

• Ensure that the automation testing and performance testing strategy aligns with overall product quality goals and objectives.

• Manage and mentor a team of automation QA engineers.

Requirements

• Bachelor's degree in Computer Science or a related field.

• Minimum of 8+ years of experience in automation testing and performance testing.

• Experience in leading and managing automation testing teams.

• Strong experience with automation testing frameworks including Robot Framework.

• Strong experience with programming languages, including Python.

• Strong understanding of software development lifecycle and agile methodologies.

• Experience with testing cloud-based applications.

• Good understanding of Cloud services & ecosystem, specifically AWS.

• Experience with performance testing tools such as JMeter, Gatling, or Locust.

• Excellent analytical and problem-solving skills.

• Excellent written and verbal communication skills.

• Ability to work independently and in a team environment.

• Passionate about automation testing and performance testing.

Requirement:

Position: Senior Python developer/c++

Location: Noida

Experience: 5 to 7 years

CTC: As per company standards

NP: Immediate to 15 days

Job Responsibilities

1.    Develop backend for applications in eCommerce / insurance/wealth management businesses

2.    Design technically sound systems and deliver results in a fast manner

3.    Building highly performant applications setting top standards in respective industries

 Basic qualifications

1.     5 -7 years experience building highly performant applications in Python / C++

2.      Good grasp of data structures and proficiency in problem-solving

3.      Knowledge of design patterns

Responsibilities:

• Design and create services and system architecture for your projects, while working.
• Closely with the product, design and engineering team.
• Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products.
• Dive into difficult problems and successfully deliver results on schedule.
• Own services related to OkCredit features in active development.
• Develop and deploy required services responsible for evolution of the overall product.
• Do server side development in golang/python preferably (or any other language).
• Deploying stuff in production in docker containers.
• Write tests.
• Invent awesome stuff to make your job easier

• Motivation to design and build reliable, elegant backend services.
• At least 2 - 5 years of backend development experience.
• Proficiency in GoLang is MANDATORY.
• Familiarity with infrastructure concepts related to docker, kubernetes is preferred.
• Familiarity with Protocol buffers. Protocol buffers are now OkCredit's lingua franca for data.
• Familiarity with message-oriented middleware like rabbitmq, google pubsub.
• Familiarity with cloud platforms like gcp, aws etc.

We are looking for a passionate and experienced Data Analyst to join our team! As a Data Analyst at Oneistox, you will play an extremely important role as your insights and findings will be crucial for our growth and success.

Job Responsibilities

• Execution of data validation, profiling, auditing and data cleansing activities
• Collaboration with internal and external stakeholders
• Development, production and management of data quality reports
• Development of key metrics, rules and notifications to identify critical gaps
• Identify opportunities for business process improvements
• Develop and maintain KPIs Dashboards
• Support all Marketing and Sales data requests
• Standardization and automation of data collection and processing
  
  

Job Requirements

• BS in Computer Science, Mathematics or a similar field
• 2-3 years of experience as a Data Analyst or a similar role
• Experience with analytics platforms like Google Analytics, Hubspot and Amplitude is a must
• Familiarity with Javascript is preferred
• Advanced excel a must; Pivot Tables, Macros preferred
• Experience with using a range of data analysis tools
• Advanced analytics capability is a preferred skill
• Understanding of multiple regression analyses
• Experience with performing analysis in a database environment is preferred

Location: Chennai

Summary of the Position:

Job Purpose:    

Genesys is the global omnichannel customer experience and contact center solution leader. With over 4,500 successful customers, our customer experience platform and solutions help companies engage effortlessly with their customers, across all touchpoints, channels and interactions to deliver differentiated customer journeys, while maximizing revenue and loyalty. 

Genesys is embracing AI and Machine Learning in delivering AI-powered products like Predictive Routing, Chat bots, and Customer Journey management. The PS Data Scientist share a passion for AI & data working with global project teams and customers to extend data science services across Genesys solutions both on premise and in the cloud.

Join us and be a part of this journey as we write Customer Success stories with these products.

Location: (Chennai/Hyderabad/Bangalore)

WHAT YOU DO:

• Interface with business customers, gathering and understanding requirements

• Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results

• Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis

• Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes

• Build, improve, and provide ongoing optimization of high quality models

• Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues and feature requests. Continuous improvement in reporting, analysis, overall process.

• Visualize, present and demonstrate findings as required. Perform knowledge transfer to customer and internal teams.

• Communicate within the global community respecting cultural, language and time zone variations

• Demonstrate flexibility to adjust working hours to match customer and team interactions

ABOUT YOU:

• Bachelor’s / Master’s degree in quantitative field (e.g. Computer Science, Statistics, Engineering)

• 2-4 years of relevant experience in Data Science or Data Engineering

• 2+ years of hands-on experience performing statistical data analysis across large datasets writing highly optimized SQL queries and utilizing Python (NumPy, Pandas) or similar software (Primary)
• Expertise with major statistical & analytical software like (Python or R or SAS) - Primary
• Experience in Snowflake, Tableau, Elasticsearch, Kibana and real time analytics solution development will be major plus (Secondary)

• Should have the application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc.

• Expertise with data modelling, data warehousing and ETL/ELT development

• Expertise with database solutions such as SQL, MongoDB, Redshift, Hadoop, Hive

• Proficiency with REST API, JSON, (AWS/AZURE/GCP) - Primary

• Experience in working and delivering projects independently. Ability to multi-task and context switch between projects and tasks

• Curiosity, passion, and drive for data queries, analysis, quality, models

• Excellent communication, initiative, and coordination skills with great attention to detail. Ability to explain and discuss complex topics with both experts and business leaders

How You Do It:

How You Think: Understands the business and takes a non-traditional approach to solving common problems. Willing to draw outside the lines and find new ways to make an impact on old problems.

How You Interact: Can easily build collaborative relationships that energize individuals, teams, and the company into action. You are a global thinker and can work across locations and time zones. You are an excellent communicator and listener, and can easily persuade to drive a vision and purpose.

How You Own It: You are a hands-on executor who can drive change and clearly communicate across all stakeholders.

How You Show Up: 

Embodies Genesys core cultural values and pushes to create an authentic employee experience. You are the type of person who can succeed through ambiguity, bringing clarity where there is no roadmap, who can re-set when a change in direction is needed without getting derailed or frustrated. You are authentic and in still the trust in others.

About Us

Genesys ® powers more than 25 billion of the world’s best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry’s #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via www.genesys.com , Twitter , Facebook , YouTube , LinkedIn , and the Genesys blog.

Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.