Software Quality Assurance Engineer

• Strong Snowflake Cloud database experience Database developer.
• Knowledge of Spark and Databricks is desirable.
• Strong technical background in data modelling, database design and optimization for data warehouses, specifically on column oriented MPP architecture 
• Familiar with technologies relevant to data lakes such as Snowflake
• Candidate should have strong ETL & database design/modelling skills. 
• Experience creating data pipelines
• Strong SQL skills and debugging knowledge and Performance Tuning exp.
• Experience with Databricks / Azure is add on /good to have . 
• Experience working with global teams and global application environments
• Strong understanding of SDLC methodologies with track record of high quality deliverables and data quality, including detailed technical design documentation desired

Role & responsibilities

• Approach & pitch inbound/outbound leads
• Work on an outbound approach for lead generation to build a client list to pitch
• Be in touch with existing clients & gather feedback on our services
• Upsell & cross-sell to existing clients.
• Write emailers to activate cold leads
• Cold-calling new leads
• Understand & explain DLT(compliance to be done during onboarding ) to new clients

Preferred candidate profile

• 0-3 years of experience in Sales & Business Development
• Worked in a Startup or Tech product for a few years
• Proficient in spoken & written communication (English)
• Experience in Lead Generation
• Experience in B2B sales

Perks and benefits

• Flexible schedule
• Food provided
• Paid sick time
• Work-Life Balance
• Great Culture to work in

Role Description

• Office 365 Migration Specialist
• Position requires prior Office 365 mailbox migration experience, scheduling migration batches and process management.
• Under the general direction of the customer IT/Security/Okta Teams is responsible for assisting in the planning and support of the migration from multiple on-premises Exchange environments & third party provided Mail services into a single Azure-hosted Office 365 environment.
• Candidates must be flexible to work Monday through Friday

Experience and educational requirements

• Bachelors degree/Any equivalent Post Graduation.

Experience: 4 to 8 years

• Bachelor’s degree in Computer Science, Information Technology, or a similar field.
• Previous experience working as a React.js Developer.(2-8 years)
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• should have hands-on experience in backend software development using Java.
• should have proven expertise in Spring Boot REST/Microservices.
• should have working experience with relational and NoSQL databases.

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.