Cartisan - Car care simplified. Cartisan is a technology company connecting car owners with car companies and workshops using our technology platform. Cartisan app suite is used by car OEMs, workshop chains, fleet owners in addition to retail car owners.
Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects (or academia) is a must. We are looking for a candidate who lives and talks Data & Algorithms, love to play with BigData engineering, hands-on with Apache Spark, Kafka, RDBMS/NoSQL DBs, Big Data Analytics and handling Unix & Production Server. Tier-1 college (BE from IITs, BITS-Pilani, top NITs, IIITs or MS in Stanford, Berkley, CMU, UW–Madison) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.
Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects is a must. We are looking for hands-on leaders in data engineering with the 5-11 year of research/large-scale production implementation experience with: - Proven expertise in Spark, Kafka, and Hadoop ecosystem. - Rock-solid algorithmic capabilities. - Production deployments for massively large-scale systems, real-time personalization, big data analytics and semantic search. - Expertise in Containerization (Docker, Kubernetes) and Cloud Infra, preferably OpenStack. - Experience with Spark ML, Tensorflow (& TF Serving), MXNet, Scala, Python, NoSQL DBs, Kubernetes, ElasticSearch/Solr in production. Tier-1 college (BE from IITs, BITS-Pilani, IIITs, top NITs, DTU, NSIT or MS in Stanford, UC, MIT, CMU, UW–Madison, ETH, top global schools) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.
Job Description In this role you will help us build, improve and maintain our huge data infrastructure where we collect TB's of logs daily. Data driven decisioning is crucial to the success of our customers and this role is central to ensuring we have a cutting edge data infrastructure to do things faster, better, and cheaper! Experience 1 - 3 Years Required Skills -Must be a polyglot with good command over Java, Scala and a scripting language -A non trivial project experience in distributed computing frameworks like Apache Spark/Hadoop/Pig/Kafka/Storm with sound knowledge of their internals -Expert knowledge of relational databases like MYSQL, and in-memory data stores like Redis -Regular participation in coding/hacking contests like Top-Coder, Code-Jam and Hacker-Cup is a huge plus Pre requisites -Strong analytical skills and solid foundation in Computer Science fundamentals specially in -DataStructures/Algorithms, Object Oriented principles, Operating Systems, Computer Networks -Ability and willingness to take ownership and work under minimum supervision, independently or as a part of a team -Passion for innovation and "Never Say Die" attitude -Strong verbal and written communication skills Education BTech/M.Tech/MS/Dual in Computer Science with above average academic credentials
Roles and Responsibilities: ● Inclined towards working in a start-up like environment. ● Comfort with frequent, incremental code testing and deployment, Data management skills ● Design and Build robust and scalable data engineering solutions for structured and unstructured data for delivering business insights, reporting and analytics. ● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall system performance. ● Build robust API’s that powers our delivery points (Dashboards, Visualizations and other integrations). Skills and Requirements: ● Good communication and collaboration skills with 3-7 years of experience. ● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities. ● Comfort with frequent, incremental code testing and deployment, Data management skills ● Good understanding of RDBMS ● Experience in building Data pipelines and processing large datasets. ● Knowledge of building crawlers and data mining is a plus. ● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra (data stores) would be a plus.
Position Description Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity Provides and supports the implementation of business solutions Provides support to the business Troubleshoots business, production issues and on call support. Minimum Qualifications BS/MS in Computer Science or related field 5+ years’ experience building web applications Solid understanding of computer science principles Excellent Soft Skills Understanding the major algorithms like searching and sorting Strong skills in writing clean code using languages like Java and J2EE technologies. Understanding how to engineer the RESTful, Micro services and knowledge of major software patterns like MVC, Singleton, Facade, Business Delegate Deep knowledge of web technologies such as HTML5, CSS, JSON Good understanding of continuous integration tools and frameworks like Jenkins Experience in working with the Agile environments, like Scrum and Kanban. Experience in dealing with the performance tuning for very large-scale apps. Experience in writing scripting using Perl, Python and Shell scripting. Experience in writing jobs using Open source cluster computing frameworks like Spark Relational database design experience- MySQL, Oracle, SOLR, NoSQL - Cassandra, Mango DB and Hive. Aptitude for writing clean, succinct and efficient code. Attitude to thrive in a fun, fast-paced start-up like environment
JOB DESCRIPTION: We are looking for a Data Engineer with a solid background in scalable systems to work with our engineering team to improve and optimize our platform. You will have significant input into the team’s architectural approach and execution. We are looking for a hands-on programmer who enjoys designing and optimizing data pipelines for large-scale data. This is NOT a "data scientist" role, so please don't apply if you're looking for that. RESPONSIBILITIES: 1. Build, maintain and test, performant, scalable data pipelines 2. Work with data scientists and application developers to implement scalable pipelines for data ingest, processing, machine learning and visualization 3. Building interfaces for ingest across various data stores MUST-HAVE: 1. A track record of building and deploying data pipelines as a part of work or side projects 2. Ability to work with RDBMS, MySQL or Postgres 3. Ability to deploy over cloud infrastructure, at least AWS 4. Demonstrated ability and hunger to learn GOOD-TO-HAVE: 1. Computer Science degree 2. Expertise in at least one of: Python, Java, Scala 3. Expertise and experience in deploying solutions based on Spark and Kafka 4. Knowledge of container systems like Docker or Kubernetes 5. Experience with NoSQL / graph databases: 6. Knowledge of Machine Learning Kindly apply only if you are skilled in building data pipelines.
Responsibilities: Design and develop ETL Framework and Data Pipelines in Python 3. Orchestrate complex data flows from various data sources (like RDBMS, REST API, etc) to the data warehouse and vice versa. Develop app modules (in Django) for enhanced ETL monitoring. Device technical strategies for making data seamlessly available to BI and Data Sciences teams. Collaborate with engineering, marketing, sales, and finance teams across the organization and help Chargebee develop complete data solutions. Serve as a subject-matter expert for available data elements and analytic capabilities. Qualification: Expert programming skills with the ability to write clean and well-designed code. Expertise in Python, with knowledge of at least one Python web framework. Strong SQL Knowledge, and high proficiency in writing advanced SQLs. Hands on experience in modeling relational databases. Experience integrating with third-party platforms is an added advantage. Genuine curiosity, proven problem-solving ability, and a passion for programming and data.
Job Description : We are looking for someone who can work with the platform or analytics vertical to extend and scale our product-line. Every product line has the dependency on other products within LimeTray eco-system and SSE- 2 is expected to collaborate with different internal teams to own stable and scalable releases. While every product-line has their own tech stack - different products have different technologies and it's expected that Person is comfortable working across all of them as and when needed. Some of the technologies/frameworks that we work on - Microservices, Java, Node, MySQL, MongoDB, Angular, React, Kubernetes, AWS, Python Requirements : - Minimum 3-year work experience in building, managing and maintaining Python based backend applications - B.Tech/BE in CS from Tier 1/2 Institutes - Strong Fundamentals of Data Structures and Algorithms - Experience in Python & Design Patterns - Expert in git, unit tests, technical documentation and other development best practises - Worked with SQL & NoSQL databases (Cassandra, MYSQL) - Understanding of async programming. Knowledge in handling messaging services like pubsub or streaming (Eg: Kafka, ActiveMQ, RabbitMQ) - Understanding of Algorithm, Data structures & Server Management - Understanding microservice or distributed architecture - Delivered high-quality work with a significant contribution - Experience in Handling small teams - Has good debugging skills - Has good analytical & problem-solving skills What we are looking for : - Ownership Driven - Owns end to end development - Team Player - Works well in a team. Collaborates with & outside the team. - Communication - Speaks and writes clearly and articulately. Maintains this standard in all forms of written communication including email. - Proactive & Persistence - Acts without being told to and demonstrates a willingness to go the distance to get something done - Develops emotional bonding for the product and does what is good for the product. - Customer first mentality. Understands customers pain and works towards the solutions. - Honest & always keeps high standards. - Expects the same form the team - Strict on Quality and Stability of the product.
Requirements: Minimum 4-years work experience in building, managing and maintaining Analytics applications B.Tech/BE in CS/IT from Tier 1/2 Institutes Strong Fundamentals of Data Structures and Algorithms Good analytical & problem-solving skills Strong hands-on experience in Python In depth Knowledge of queueing systems (Kafka/ActiveMQ/RabbitMQ) Experience in building Data pipelines & Real time Analytics Systems Experience in SQL (MYSQL) & NoSQL (Mongo/Cassandra) databases is a plus Understanding of Service Oriented Architecture Delivered high-quality work with a significant contribution Expert in git, unit tests, technical documentation and other development best practices Experience in Handling small teams
Description Deep experience and understanding of Apache Hadoop and surrounding technologies required; Experience with Spark, Impala, Hive, Flume, Parquet and MapReduce. Strong understanding of development languages to include: Java, Python, Scala, Shell Scripting Expertise in Apache Spark 2. x framework principals and usages. Should be proficient in developing Spark Batch and Streaming job in Python, Scala or Java. Should have proven experience in performance tuning of Spark applications both from application code and configuration perspective. Should be proficient in Kafka and integration with Spark. Should be proficient in Spark SQL and data warehousing techniques using Hive. Should be very proficient in Unix shell scripting and in operating on Linux. Should have knowledge about any cloud based infrastructure. Good experience in tuning Spark applications and performance improvements. Strong understanding of data profiling concepts and ability to operationalize analyses into design and development activities Experience with best practices of software development; Version control systems, automated builds, etc. Experienced in and able to lead the following phases of the Software Development Life Cycle on any project (feasibility planning, analysis, development, integration, test and implementation) Capable of working within the team or as an individual Experience to create technical documentation