Job Description

Cloud Data Engineer Experience: 5+ years Salary: INR 3,30,000 / month (based on experience) Expected Notice Period : 2 to 4 Weeks Shift : IST Full Shift (10:30 AM to 7:30 PM IST) Opportunity Type: Remote Placement Type: Direct Placement (*Note: This is a requirement for one of Uplers\' clients) What do you need for this opportunity Primary Skills : Java, Python, Cloud DevOps, Docker, GCP, Kubernetes Assessment to be Cleared: Java Programming, Data Modeling (Python) Our Hiring Partner is Looking for: Cloud 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: As a cloud data engineer, you will be a hands-on developer who designs, and delivers Data Warehouses, Data Lake, Self-service tooling, Real-time streaming, and Big Data Solutions for our rapidly growing Customer Service Operations. Working within the Data Engineering organization, this individual will tightly partner with business, product managers and engineering leaders to build data platforms enabling these goals. You will be instrumental in building out the data pipelines to ensure our data is generated, transformed, and mutated over time, working to build a cohesive, scalable, accurate, and performant foundational source of truth upon which all data & analytics users across the company will build. What You\'ll Do - Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements. Deliver Data Engineering capabilities for streaming and batch-based data ingestion, enrichment, and aggregation. Design and develop sophisticated data models and visualizations that support multiple use cases across different products or domains. Define and manage SLA for all data sets in allocated areas of ownership. Work closely with data architects, SMEs, and other technology partners to develop & execute on the data architecture roadmap for different functional areas. Mentor and grow technical skills of engineers across multiple sprint teams by giving high quality feedback in design and code reviews and providing training for new methods, tools, and patterns. Collaborate with your stakeholders and other business analytics team leaders. This Role Requires: 5+ years of experience in Data Engineering roles. 3+ years of programming experience with at least one language such as Python, Scala, Java, or other modern OOP programming language. 3+ years\' experience in writing SQL statements 3+ years\' experience with schema design and dimensional data modeling Experience building and optimizing \'big data\' data pipelines, architectures, and data sets Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale. ( GCP is preferred , GCP certification is even better) Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools such as Airflow, dbt, Glue, and Beam (Flink / Dataflow) Experience in development of custom built BI and big data reporting solutions using tools like Looker, DataStudio, or any similar tools Experience with code management tools (e.g., Git, SVN) and DevOps tools (e.g., Docker, Jenkins) Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners Ability to learn quickly and drive deliverables while maintaining ownership/bias. A team player who is at ease delivering in a group setting. Mandatory Skills: Python Java GCP Docker Kubernetes Good to have skills - Experience with DevOps What we\'d love to see (but isn\'t required): Customer Service or E-commerce analytics experience a strong plus Bachelor\'s or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline Prior experience in data science or closely related quantitative field. Note: You will be hired on Payroll of Foray Solutions for their end client - Wayfair. Payroll & Compliance would be managed by Foray Solutions. Uplers is working as a Hiring Partner here. How to apply for this opportunity Register or login on our portal & fill out the application Clear the assessment(s) required and apply for the opportunity 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: We are a leading IT consulting and services firm offering the right blend of technology and skill-set to organizations across industries. With an experience in delivering premier consulting services to Fortune 500 companies, we promise superior performance, quality-focused approach and world-class service delivery, while reducing overhead costs by approximately 70%. We provide consultation and support in: Business case and feasibility studies SAP deployment and implementation roadmap Target SAP operating model Architecture design, considering risk and cost-effectiveness On-premise cloud or hybrid architecture Private or public cloud comparison. 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 Direct placement 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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