Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.

Full-Stack Developer

• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation

Nos of Resources required: 7 to 8

Work location: As of now Remote (Bangalore/Mumbai)

Qualification: BTech

Experience: 4 yrs – 8 yrs

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months  

Position: Azure Snowflake

• Demonstrated ability to have successfully completed multiple, complex technical projects and create high-level design and architecture of the solution, including class, sequence and deployment infrastructure diagrams.
• Take ownership of technical solutions from design and architecture perspective for projects in presales phase as well as on-going projects.
• Prior experience with application delivery using an Onshore/Offshore model
• Experience with gathering end user requirements and writing technical documentation
• Time management and multitasking skills to effectively meet deadlines under time-to-market pressure
• Suggest innovative solutions based on new technologies and latest trends to sales team.
• Review the architectural/ technological solutions for ongoing projects and ensure right choice of solution.
• Work closely with sales team and clients to understand their business, capture requirements, identify pain areas, accordingly, propose an ideal solution and win business.

Azure :-Hands on experience in ADF – Azure Data Factory

• Hands on experience in Big Data & Hadoop ECO Systems
• Exposure to Azure Service categories like PaaS components and IaaS subscriptions
• Ability to Design, Develop ingestion & processing frame work for ETL applications
• Hands on experience in powershell scripting, deployment on Azure
• Experience in performance tuning and memory configuration
• Should be adaptable to learn & work on new technologies
• Should have Good written and spoken communication skill

Nos of Resources required: 1 to 2

Work location: As of now Remote (Bangalore)

Experience: 5 yrs – 6 yrs

Mobilization Period in weeks: 2 weeks

Duration: 6 to 12 months 

Position: Support Engineer

Must Have Technical Skills: Azure Data Factory

Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls

Preferred Industry Experience: Manufacturing

 Role:

Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.

Troubleshoot issues, provide workaround, determine root cause, upon failures.

Desired Qualification:

·         0-3 years of DE or batch support experience.

·         Must be willing to work completely in the night shift.

·         Ability to work on a task independently or with minimal supervision.

·         Knowledge of Data Orchestration Tool, preferably ADF.

·         Knowledge of sql or hive, python, pyspark, hdfs or adls.

·         Work location: Remotely.

Nos of Resources required: 1 to 2

Work location: Remote

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 0-3 Years

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months  

We need to predict the demand for a particular category of merchandise. As of now we don't have a hang of how much to produce.