Engineering Manager

About DataWeave

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 @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

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 you.
  • 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.

Roles & Responsibilities

  • Proven ability to switch context, manage multiple development activities across the team
  • Relevant experience of 3+ years and overall experience of 10+ yrs
  • Exposure to Big data/analytics product/pipeline development.
  • Experience in the end-to-end development cycle for products/features ranging from hotfixes to major platform releases
  • Experience in setting up development metrics and running continuous improvement initiatives
  • Hands-on experience in Software development/Coding
  • Good with Algorithms, Data Structures, and Problem Solving
  • Excellent communication skills

Skills & Requirements

  • Plan, coordinate, and deliver the product features
  • Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
  • Coordinate internal resources and third parties/vendors for the flawless execution
  • Measure project performance using appropriate systems, tools, metrics, and techniques
  • Drive, review, and finalize technical product design and changes.
  • Analyze technology, resource needs to plan and assess the feasibility/delivery dates of projects.
  • Leading and mentoring engineering team members, tech leads
  • Work with VP Engineering, Product Managers, Delivery Managers, Customer/ Customer representatives as stakeholders for prioritization and delivery.
  • Recruit employees; assign, direct, and evaluate their work; and oversee the development and maintenance of staff competence.

Job Location:
Bangalore, India

Address:
InfoWeave Analytics Pvt Ltd,
3rd Floor, Brigade Software Park
Banashankari Stage II, Basavanagudi,
Bengaluru 560070
+(91) 80 684 50 203
contact@dataweave.com

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