Inside Sales Executive

We are looking for a UX Designer to design software and platforms that meet people’s needs. You will combine interfaces and workflows to enhance user experience.

In this role, you should be an analytical and creative designer who is able to grasp user needs and solve problems. A strong portfolio of successful UX and other technical projects is essential.

Ultimately, you will make our product more user-friendly and intuitive to attract and retain customers.

• Understand product specifications and user psychology
• Conduct concept and usability testing and gather feedback
• Create personas through user research and data
• Define the right interaction model and evaluate its success
• Develop wireframes and prototypes around customer needs
• Find creative ways to solve UX problems (e.g. usability, findability)
• Work with UI designers to implement attractive designs
• Communicate design ideas and prototypes to developers
• Keep abreast of competitor products and industry trends

• Proven experience as a UX Designer, https://resources.workable.com/ui-designer-job-description" target="_blank">UI Designer or similar role
• Strong portfolio of design projects
• Background in project management and research
• Familiarity with interaction design and information architecture
• Proficient in design software (e.g. UXPin, Balsamiq)
• Knowledge of HTML/CSS; JavaScript is a plus
• Problem-solving aptitude
• Analytical mind with a business acumen
• Excellent communication skills
• BSc in Design, Computer Science, Engineering or a related field

Role: ODI Developer

Location: Hyderabad (Initially remote)

Experience: 5-8 Years

Technovert is not your typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.

We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that deliver.

Must have:

• Experience with DWH Implementation experience, with experience in developing ETL processes - ETL control tables, error logging, auditing, data quality, etc.
• Responsible for creation of ELT maps, Migrations into different environments, Maintenance and Monitoring of the infrastructure, working with DBA's as well as creation of new reports to assist executive and managerial levels in analyzing the business needs to target the customers.
• Should be able to implement reusability, parameterization, workflow design, etc.
• Expertise in the Oracle ODI toolset and OAC & knowledge of ODI Master and work repository &data modeling and ETL design.
• Used ODI Topology Manager to create connections to various technologies such as Oracle, SQL Server, Flat files, XML, etc.
• Using ODI mappings, error handling, automation using ODI, Load plans, Migration of Objects.
• Ability to design ETL unit test cases and debug ETL Mappings, expertise in developing Load Plans, Scheduling Jobs.
• Integrate ODI with multiple Sources/targets.

Nice to have:

• Exposure towards Oracle Cloud Infrastructure (OCI) is preferable.
• Knowledge in Oracle Analytics Cloud to Explore data through visualizations, load, and model data.
• Hands-on experience of ODI 12c would be an added advantage.

Qualification:

• Overall 3+ years of experience in Oracle Data Integrator (ODI) and Oracle Data Integrator Cloud Service (ODICS).
• Experience in designing and implementing the E-LT architecture that is required to build a data warehouse, including source-to-staging area, staging-to-target area, data transformations, and EL-T process flows.
• Must be well versed and hands-on in using and customizing Knowledge Modules (KM) and experience of performance tuning of mappings.
• Must be self-starting, have strong attention to detail and accuracy, and able to fill multiple roles within the Oracle environment.
• Should be good with Oracle/SQL and should have a good understanding of DDL Deployments.

• Able to create a UI and UX that would make the app simple to use and delight users.
• Firm grasp of the React Native, JavaScript, and TypeScript language and its nuances, including ES6+ syntax including DOM Manipulation and the JavaScript object model.
• Familiarity with code versioning tools (Such as Git, SVN, or Mercurial)
• Familiarity with RESTful APIs.
• Able to fix the occurring bugs and iteratively improve the app, include newer features and keep the app up to date with all the iOS updates/ libraries that will be released.

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred