Message: Return type of CI_Session_files_driver::open($save_path, $name) should either be compatible with SessionHandlerInterface::open(string $path, string $name): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::close() should either be compatible with SessionHandlerInterface::close(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::read($session_id) should either be compatible with SessionHandlerInterface::read(string $id): string|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::write($session_id, $session_data) should either be compatible with SessionHandlerInterface::write(string $id, string $data): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::destroy($session_id) should either be compatible with SessionHandlerInterface::destroy(string $id): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Message: Return type of CI_Session_files_driver::gc($maxlifetime) should either be compatible with SessionHandlerInterface::gc(int $max_lifetime): int|false, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice
Digital Commerce capabilities are fundamental to winning today’s shoppers. The pandemic has accelerated eCommerce adoption across the globe with multiple options for consumers to research, compare and buy products. Solutions that provide actionable data-driven insights have become fundamental to eCommerce growth and critical in optimizing these investments.
DataWeave is a leading provider of advanced sales optimization solutions for Digital Commerce businesses, consumer brands, delivery intermediaries, and marketplaces. Our machine learning-enabled SaaS platform provides over 400 global brands and retailers with streamlined access to Digital Shelf Analytics and Dynamic Pricing solutions used to develop data-driven growth strategies and to make high-frequency business decisions that accelerate revenue growth and drive profitability.
Our actionable, Digital Market Intelligence is generated by aggregating and analyzing data captured daily on over 100 million products found on the Web, tracking competitive KPI performance within critical business areas like Pricing, Promotions, Content Audits, Product Availability, Merchandising, Search and Media, Sales and Market Share, and Ratings and Reviews.
Data Engineering & Delivery @DataWeave
We the Delivery / Data engineering team at DataWeave, deliver the Intelligence with actionable data to the customer. One part of the work is to write effective crawler bots to collect data over the web, which calls for reverse engineering and writing scalable python code. Other part of the job is to crunch data with our big data stack / pipeline. Underpinnings are: Tooling, domain awareness, fast-paced delivery, and pushing the envelope.
Roles & Responsibilities
Inclined towards working in a start-up environment.
Comfort with frequent, incremental code testing and deployment, Data management skills
Design and Build robust and scalable data engineering solutions for structured and unstructured data for delivering business insights, reporting and analytics.
Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall system performance.
Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).
Skills & Requirements
Good communication and collaboration skills with 4-7 years of experience.
Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
Comfort with frequent, incremental code testing and deployment, Data management skills
Good understanding of RDBMS
Experience in building Data pipelines and processing large datasets .
Knowledge of building crawlers and data mining is a plus.
Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores ) would be a plus.
Expert in Python programming
Advantages
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver.
What do we offer?
Some of the most challenging data problems. Huge text and image datasets that you can play with!
Ability to see the impact of your work and the value you're adding to our customers almost immediately. Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites y ou. A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
Last but not the least, competitive salary packages and fast paced growth opportunities
