Engineer III, Data

Posted 2 Days Ago
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New Delhi, Delhi
Senior level
Software
The Role
As a Senior Data Engineer, you will establish foundational data infrastructures, design and implement data architectures, and create systems for data movement and transformation, collaborating with cross-functional teams to support data-driven decision-making across the company.
Summary Generated by Built In

Description
Who are we❓

Welcome to the world of Mrsool! 🌍✨ Where on-demand delivery meets unparalleled user needs to deliver anything you desire. As one of the largest delivery platforms in the Middle East and North Africa (MENA) region, Mrsool has captivated users with its unique and seamless experience, earning it the highest ratings among all major delivery platforms on both Apple's App Store and Google's Play Store. 🌟📲

What sets Mrsool apart is its commitment to providing an unmatched "order anything from anywhere" experience. 🌐📦 This extraordinary feat is made possible by our extensive fleet of dedicated on-demand couriers. With their unwavering dedication, they ensure that your desired items reach your doorstep, no matter where you are. 🚗🛵

Whether it's a late-night craving, a forgotten item, or a special gift for a loved one, Mrsool is here to deliver, quite literally. 😋🎁 We take pride in the convenience we offer, empowering you to get what you need when you need it, all at the tap of a button. 💪💫

The Job in a Nutshell💡

We are actively seeking a highly motivated and skilled Senior Data Engineer to establish robust foundational data infrastructures.

Your mission is to develop and deliver data solutions essential for empowering data scientists, analysts, and Product Managers across the company to gain a deeper understanding of Mrsool's business.

In this role, you will take charge of designing and implementing data architectures, creating systems for moving and transforming data, and ensuring its accuracy. You'll collaborate closely with cross-functional teams to bolster our business objectives and offer insights and recommendations for data-driven decision-making.

This role presents a unique opportunity to be a crucial part of enhancing data-driven decision-making processes within the organization and building data intensive applications.

If you're eager to take on this rewarding opportunity, we’d love to hear from you. Apply today!

What You Will Do💡

    • You will be responsible for finding the best cloud solution to solve data storage, processing, and orchestration while keeping the cost in check.
    • You will design, build, and deploy batch and real-time data pipelines, storage, and model schemas. This will involve leveraging performance tuning techniques, conceptual schemas, and modern technology.
    • Develop and maintain data models to support efficient data retrieval and analysis. Create and optimize data marts for various business units.
    • Work closely with product managers, data analysts, and other business stakeholders to gather requirements and ensure alignment with data strategies. Collaborate with backend engineers to integrate data solutions into applications.
    • Design, develop, and maintain critical data infrastructure, datasets, and pipelines.
    • Ensure data is stored safely and securely, adhering to frequently changing regulations (e.g. GDPR) and best practices for user data storage and security.
    • Take ownership of critical data pipelines, manage their SLAs, and constantly improve pipeline efficiency and data quality.
    • Facilitate data integration and transformation requirements for moving data between applications, ensuring interoperability with database, data warehouse, and data mart environments.
    • Assist in designing and managing the technology stack used for data storage and processing.
Requirements
What are We Looking For❓
  • Possess over 5 years of hands-on experience in Data Engineering, specializing in the development of scalable storage solutions and robust schema layers.
  • Proficient in a programming language such as Python or Java, along with their respective standard data processing libraries.
  • Demonstrated expertise in crafting and troubleshooting data pipelines utilizing distributed data frameworks like Apache Spark and Flink etc.
  • Extensive background in working with relational databases (AWS, RDS, Aurora), adept in SQL, data warehousing, and proficient in designing ETL/streaming pipelines.
  • Proven track record of integrating data from core platforms into a centralized warehouse or datalake.
  • Adhere to rigorous standards in code quality, implement automated testing, and champion other engineering best practices.
  • Well-versed in establishing secure systems and access models for handling highly sensitive data.
  • Exhibit strong cross-functional communication skills, proficient in extracting requirements, and skilled in architecting shared datasets.
  • Possess a genuine passion for creating exceptional tools that provide a delightful user experience.
Benefits

What We Offer You❗

    • Inclusive and Diverse Environment: We foster an inclusive and diverse workplace that values innovation and provides flexibility. Whether you prefer remote, in-office, or hybrid work arrangements, we accommodate your needs.
    • Competitive Compensation: Our compensation packages are competitive and include potential share options for certain roles. 
    • Personal Growth and Development: We are committed to your professional development, offering regular training and an annual learning stipend to help you advance your career in a fast-paced, dynamic environment.
    • Autonomy and Mentorship: You’ll enjoy a degree of autonomy in your role, supported by mentorship and ambitious goals that drive both your personal success and the company's growth.

Top Skills

Cloud Solutions
The Company
HQ: Riaydh
1,843 Employees
On-site Workplace
Year Founded: 2015

What We Do

Established in 2015, Mrsool grew rapidly over the past few years, by the time it closed series A in early 2019, the on-demand delivery platform has processed over 1 billion Riyals, serving over 10 million users across all the cities of the Saudi kingdom.
The platform pioneered the on-demand service fulfillment model in the region, by establishing a massive customer-to-customer network through a generic chat-based ordering experience, allowing users to be creative and unconstrained in describing the service needed, and giving the couriers the option to bid with their price they see fit, ensuring a fully scalable and self-regulating model.

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