Big Data Engineer
Bengaluru, Karnataka, India
Ushur
Ushur is the complete solution for intelligent automation. Designed for high-contact industries like insurance, logistics and financial services, Ushur engages customers over email, apps, SMS and more, using conversational AI and intuitive...About Ushur -Ushur’s Intelligent Automation platform uniquely combines conversational AI and workflow process automation to transform digital journeys for employees, partners and customers. Ushur believes the experiences of customers, employees and partners will be transformed when we remove friction and tedium from everyday tasks. Using artificial intelligence and bots, Ushur’s visual, drag and drop tools automate front and back-office work across virtually any channel; text, web, voice, social, email and machine-to-machine. Working with existing backend systems, these end user driven, intelligent automations augment your existing workforce, reduce process times from weeks to hours and elevate the customer experience. We focus on fast, iterative development with an emphasis on design-right philosophy. Currently, at Ushur, we are experiencing unprecedented & exciting growth with endless opportunities to innovate!
Job Description:
Our Infrastructure team is looking for an excellent Big Data Engineer to join a core group that designs the industry’s leading Micro-Engagement Platform. This role involves design and implementation of architectures and frameworks of big data for industry’s leading intelligent workflow automation platform. As a specialist in Ushur Engineering team, your responsibilities will be to:
• Use your in-depth understanding to architect and optimise databases and data ingestion pipelines
• Develop HA strategies, including replica sets and sharding to for highly available clusters
• Recommend and implement solutions to improve performance, resource consumption, and resiliency
• On an ongoing basis, identify bottlenecks in databases in development and production environments and propose solutions
• Help DevOps team with your deep knowledge in the area of database performance, scaling, tuning, migration & version upgrades
• Provide verifiable technical solutions to support operations at scale and with high availability
• Recommend appropriate data processing toolset and big data ecosystems to adopt
• Design and scale databases and pipelines across multiple physical locations on cloud
• Conduct Root-cause analysis of data issues
• Be self-driven, constantly research and suggest latest technologies
Requirements
Qualifications
• Engineering degree in Computer Science or related field
• 10+ years of experience working with databases, most of which should have been around NoSql technologies
• Expertise in implementing and maintaining distributed, Big data pipelines and ETL processes
• Solid experience in one of the following cloud-native data platforms (AWS Redshift/ Google BigQuery/ SnowFlake)
• Exposure to real time processing techniques like Apache Kafka and CDC tools (Debezium, Qlik Replicate)
• Strong experience in Linux Operating System
• Solid knowledge of database concepts, SQL, and NoSql internals
• Experience with backup and recovery for production and non-production environments
• Experience in security principles and its implementation
• Exceptionally passionate about always keeping the product quality bar at an extremely high level
Nice-to-haves
• Proficient with one or more of Python/Node.Js/Java/similar languages
Benefits
Why Join us?
We are passionate about intelligently automating our customer processes and we would love to have you as part of this exciting journey! We offer a very competitive compensation plan, stock options and a flexible work environment for the ideal candidates.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data BigQuery Computer Science Conversational AI Data pipelines DevOps Engineering ETL Kafka Linux Node.js NoSQL Pipelines Python Qlik Redshift Research Security Snowflake SQL
Perks/benefits: Competitive pay Equity Flex hours
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