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Responsibilities: Build real-time and batch analytics platform for analytics & machine-learning. Design, propose and develop solutions keeping the growing scale & business requirements in mind. As an integral part of the Data Engineering team, be involved in the entire development lifecycle from conceptualisation to architecture to coding to unit testing. Help us design the Data Model for our data warehouse and other data engineering solutions. Requirements: Deep understanding of real-time as well as batch processing big data solutions (Spark, Storm, Kafka, KSql, Flink, MapReduce, Yarn, Hive, HDFS, Pig etc). Extensive experience developing applications that work with NoSQL stores (e.g.,Elastic Search, HBase, Cassandra, MongoDB). Understands Data very well and has fair Data Modelling experience. Proven programming experience in Java or Scala. Experience in gathering and processing raw data at scale including writing scripts, web scraping, calling APIs, writing SQL queries, etc. Experience in cloud based data stores like Redshift and Big Query is an advantage. Previous experience in a high-growth tech startup would be an advantage.
Hands-on programming and technical design skills with a passion for learning new technologies Experience of building highly scalable, robust, and fault-tolerant services 3+ years of experience of designing and developing software systems or services Good understanding of REST APIs and the web in general. Ability to build a feature from scratch & drive it to completion. Working experience with AWS Knowledge of designing microservices Knowledge of search platform like Elastic Search, Solr etc Knowledge of messaging technology such as Kafka or rabbitmq Startup experience is a strong plus Experience of Python is a strong plus Critical thinking is a plus.
Please apply if and only if you enjoy engineering, wish to write a lot of code, wish to do a lot of hands-on Python experimentation, already have in-depth knowledge of deep learning. This position is strictly for people having knowledge various Neural networks and can customize the neural network and not for people who have experience in downloading various AI/ML code. This position is not for freshers. We are looking for candidates with AI/ML/CV experience of at least 2 year in the industry.
Products@DataWeave: We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed. How we work It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - Opportunity to work on a variety of challenging problems and technologies to figure out what really excites you. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. - Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Roles and Responsibilities: ● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality ● Build robust RESTful APIs that serve data and insights to DataWeave and other products ● Design user interaction workflows on our products and integrating them with data APIs ● Help stabilize and scale our existing systems. Help design the next generation systems. ● Scale our back end data and analytics pipeline to handle increasingly large amounts of data. ● Work closely with the Head of Products and UX designers to understand the product vision and design philosophy ● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns. ● Constantly think scale, think automation. Measure everything. Optimize proactively. ● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope. Skills and Requirements: ● 5-7 years of experience building and scaling APIs and web applications. ● Experience building and managing large scale data/analytics systems. ● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. ● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python. ● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. ● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’. ● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic. ● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ. ● Use the command line like a pro. Be proficient in Git and other essential software development tools. ● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus. ● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc. ● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. ● Working knowledge linux server administration as well as the AWS ecosystem is desirable. ● It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Responsibilities Work with the team to create backend services by translating application storyboards and use cases into functional applications Design, build and maintain efficient, reusable, and reliable Python code Ensure the best possible performance, quality, and responsiveness of the applications Identify bottlenecks and bugs and devise solutions to these problems Help maintain code quality, organization, and automatization Skills Deep understanding of how RESTful APIs work Familiar with various design and architectural patterns Sound knowledge of Databases MongoDB is a must, Work-experience in Python, with knowledge of Flask Framework. Knowledge of user authentication and authorization between multiple systems, servers, and environments Strong unit test and debugging skills Ability to communicate complex technical concepts to both technical and non-technical audiences Experience with Queue based streaming systems like Kafka, Celery Understanding of fundamental design principles behind a scalable application Able to create database schemas that represent and support business processes Proficient understanding of code versioning tools, such as Git We expect an entrepreneurial mindset, someone who is not afraid to take on new challenges every day and who considers the product as his own by taking complete ownership of it.
Systems EngineerAbout Intellicar Telematics Pvt LtdIntellicar Telematics Private Limited is a vehicular telematics organization founded in 2015 with the vision of connecting businesses and customers to their vehicles in a meaningful way. We provide vehicle owners with the ability to connect and diagnose vehicles remotely in real-time. Our team consists of individuals with an in-depth knowledge and understanding in automotive engineering, driver analytics and information technology. By leveraging our expertise in the automotive domain, we have created solutions to reduce operational and maintenance costs of large fleets, and ensure safety at all times.Solutions :- Enterprise Fleet Management, GPS Tracking- Remote engine diagnostics, Driver behavior & training- Technology Integration : GIS, GPS, GPRS, OBD, WEB, Accelerometer, RFID, On-board Storage.Intellicar's team of accomplished automotive Engineers, hardware manufacturers, Software Developers and Data Scientists have developed the best solutions to track vehicles and drivers, and ensure optimum performance, utilization and safety at all times.We cater to the needs of our clients across various industries such as: Self drive cars, Taxi cab rentals, Taxi cab aggregators, Logistics, Driver training, Bike Rentals, Construction, ecommerce, armored trucks, Manufacturing, dealership and more. Desired skills as a developer :- Education: BE/B.Tech in Computer Science or related field.- 4+ years of experience with scalable distributed systems applications and building scalable multi-threaded server applications.- Strong programming skills in Java or Scala on Linux or a Unix based OS.- Understanding of distributed systems like Hadoop, Spark, Cassandra, Kafka.- Good understanding of HTTP, SQL, Database internals.- Good understanding of Internet and how it works- Create new features from scratch, enhance existing features and optimize existing functionality, from conception and design through testing and deployment.- Work on projects that make our network more stable, faster, and secure.- Work with our development QA and system QA teams to come up with regression tests that cover new changes to our software
Products@DataWeave: We, the Products team at DataWeave, build data products that provide timely insights that are readily consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help businesses take data driven decisions everyday. We also give them insights for long term strategy. We are focused on creating value for our customers and help them succeed. How we work It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! Read more on Become a DataWeaver What do we offer? - Opportunity to work on some of the most compelling data products that we are building for online retailers and brands. - Ability to see the impact of your work and the value you are adding to our customers almost immediately. - Opportunity to work on a variety of challenging problems and technologies to figure out what really excites you. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours. - Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the team. - Last but not the least, competitive salary packages and fast paced growth opportunities. Roles and Responsibilities: ● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality ● Build robust RESTful APIs that serve data and insights to DataWeave and other products ● Design user interaction workflows on our products and integrating them with data APIs ● Help stabilize and scale our existing systems. Help design the next generation systems. ● Scale our back end data and analytics pipeline to handle increasingly large amounts of data. ● Work closely with the Head of Products and UX designers to understand the product vision and design philosophy ● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns. ● Constantly think scale, think automation. Measure everything. Optimize proactively. ● Be a tech thought leader. Add passion and vibrancy to the team. Push the envelope. Skills and Requirements: ● 5-7 years of experience building and scaling APIs and web applications. ● Experience building and managing large scale data/analytics systems. ● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices. ● Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python. ● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on. ● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’. ● Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic. ● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ. ● Use the command line like a pro. Be proficient in Git and other essential software development tools. ● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus. ● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc. ● Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies. ● Working knowledge linux server administration as well as the AWS ecosystem is desirable. ● It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Responsibilities: You will interact directly with colleagues across all responsibility areas and Director Of Engineering. The successful candidate for this position: - Designs and implements well-architected and scalable solutions - Collaborate with various teams in releasing high-quality software - Performs code reviews and contributes to healthy coding conventions - Assists in integration with customer systems - Provides timely responses to internal technical questions - Demonstrates leadership skills in navigating through tense periods and keeping calm Our Culture: - Integrity and motivation is more important than skill and experience - Cross-company team building and collaboration - Diverse background and highly talented & passionate group of individuals Ideal Candidate: The ideal candidate is a senior engineer having substantial development experience and high standards for code quality & maintainability. Basic Qualifications: - 4-year degree in Computer Science or Computer Engineering Preferred Qualifications: - 5+ years of development experience - Experience in Java or Scala - Experience with all parts of SDLC including CI/CD and testing methodologies - Experience in working with NoSQL technologies and message queue management - Self-motivated and able to work with minimum guidance. - Experience in a startup or rapid-growth product or project - Comfortable with modern version control, and agile development Bonus Points: - Experience in working with micro-services, containers or big data technologies - Working knowledge of cloud technologies like GCE and AWS - Writes blog posts and has a strong record on StackOverflow and similar sites
The Company VIMANA is transforming how industrial companies operate plants and deliver products. We help our customers gain real-time visibility and insight into their manufacturing operations to improve productivity, maximize asset performance, reduce resource consumption and boost profits. Our technology fuels Industry 4.0, IIoT and Smart Factory client initiatives. The VIMANA Platform is the leading cloud-based and on-premise predictive analytics platform for manufacturing intelligence. Manufacturers large and small leverage our big data analytics for connecting assets, monitoring, analyzing, predicting and optimizing for improved operational performance. This is an opportunity to join one of the most dynamic software companies in manufacturing – VIMANA is an exciting, fast growing, dynamic technology company which is positioned at the forefront of a fundamental shift in the way manufacturing plants operate. The Role As a Senior Software Engineer, you will be developing key components of the VIMANA platform for managing and analyzing streaming realtime industrial data. You will be working with cutting-edge tools for streaming analytics including Kafka, Elasticsearch, and RXJS. Success in this role requires very strong problem solving and inter-personal skills. We want you to be a tenacious problem solver, detail-oriented, skilled at prioritizing, and focused on building high-quality software. You will be part of an agile team with pair programming, intensive (and obsessive) testing, and iterative delivery using our fully integrated CI/CD pipeline. You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance. You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms. You will be given the opportunity to work across all teams across the entire product and infrastructure stack. Qualifications Undergraduate degree in Computer Science or related field, or equivalent practical experience 4+ years of work experience in relevant field Experience building production code using Java and NodeJS Experience using Kafka or equivalent stream processing systems Expertise in data structures and algorithms Experience using non-SQL databases like MongoDB or Elasticsearch. Job Perks Flexible hours Work from home Fully stocked kitchen Breakfast and Lunch everyday.
• Looking for Big Data Engineer with 3+ years of experience. • Hands-on experience with MapReduce-based platforms, like Pig, Spark, Shark. • Hands-on experience with data pipeline tools like Kafka, Storm, Spark Streaming. • Store and query data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto. • Hands-on experience in managing Big Data on a cluster with HDFS and MapReduce. • Handle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and Storm. • Experience with Azure cloud, Cognitive Services, Databricks is preferred.
