Data Engineer Remote

Year    India, India

Job Description


Senior Data Engineer Experience: 4 years Salary: AUD 2,275 - 2,600/ month (Based on experience) Expected Notice Period : 2 to 4 Weeks Shift : AU Partial Shift (06:30 AM to 03:30 PM IST) Opportunity Type: Remote Placement Type: Contractual Contract Duration : Full-time, 12 months (*Note: This is a requirement for one of Uplers\' clients) What do you need for this opportunity Primary Skills : API, BigQuery, Cloud run, Composer, Dataflow, Firestore, Pub/Sub, Terraform, webhooks, GCP, Python, SQL Assessment to be Cleared: Terraform AWS EC2, Time Series Data Modeling (Python), MySQL Our Hiring Partner is Looking for: Senior Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you Roles & Responsibilities: Looking for an experienced Senior Data Engineer with a solid background in Google Cloud Platform (GCP) to join our Data Engineering team and will be reporting to our Data Engineering Lead. Responsible for designing, building, and maintaining our data infrastructure on GCP, ensuring high performance and availability of our data systems to scale Designing, developing and maintaining end-to-end data pipelines Build out API integrations to support continuing increases in data volume and complexity Collaborate with the data and analytics team to strive for greater functionality in our data systems Work with cross-functional teams, including Software, Product, Operation and Finance teams by addressing data-related technical issues and supporting their data infrastructure needs Provide technical leadership and mentorship to junior data engineers, ensuring a high degree of team performance Ensure high-quality in documentation that can effectively support application management This Role Requires: An experienced data engineer who enjoys optimizing data systems and building them from the ground up. You will work alongside our engineers, data analysts and data scientists on data initiatives. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products, and be excited by the prospect of optimizing and/or re-designing our company\'s data architecture and applications running on it to support our next generation of products and data initiatives. Experience with designing and implementing complex high throughput distributed batch and/or real-time solutions using Dataflow, Composer, Pub/Sub, BigQuery, Cloud Run, App engine, Firestore Strong programming skills in Python, SQL skills for data analysis and reporting Demonstrated experience in working with API and Webhooks GCP certification is highly desirable Experience in deploying cloud infrastructure as code (IaC) using Terraform or similar Working in an Agile development environment Qualifications: Bachelor\'s Degree or Master\'s Degree in Computer Science, Engineering or related field 5+ years experience with at least 3+ years of experience in a Data Engineer role, with a focus on data processing and analysis Proven ability to work independently to meet tight deadlines Ability to effectively manage multiple stakeholders and competing deadlines Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Strong project management and organizational support and working with cross-functional teams in a dynamic environment It would be great if you have - experience with GCP How to apply for this opportunity Register or login on our portal & fill out the application Clear the given assessment(s) and Click on \'Apply\' to get shortlisted Once completed, our team will contact you with an interview with our SME/Matcher Once it\'s all done, your profile will be shared with the client When selected, just meet the client and get your exciting career started! About our Hiring Partner: Our vision is to transition every urban mile to Light Electric Vehicles (LEVs). Offer the world\'s leading platform for commercial use e-bikes. We operate across the USA, UK, Europe, Canada and Australia. In 4 years we have helped transition millions of urban miles to light electric vehicles, built a team of 300 world class engineers, operators, sales staff and vehicle repair technicians; developed and deployed the world\'s best last mile delivery electric bikes and fleet management software; and successfully sold these fleet solutions into the world\'s leading logistics businesses. Our vehicles are used by major players in the food, grocery and parcel delivery segments with partners including UberEats, Doordash, JustEat Takeaway, Deliveroo, Domino\'s, Pizza Hut, Amazon, FedEx, Getir, Ocado, GoPuff and many more. Expect to join a high-performing team where you are trusted to make a direct impact on our business, our customers and our planet. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual remote opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don\'t hesitate to apply today. We are waiting for you!

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Job Detail

  • Job Id
    JD3182772
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    India, India
  • Education
    Not mentioned
  • Experience
    Year