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Work at top Indian companies and global startups in 2020 - Check it out

Scala Jobs in Bangalore (Bengaluru)

Explore top Scala Job opportunities in Bangalore (Bengaluru) for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Engineering Manager - Data
Engineering Manager - Data

Founded 2014
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Remote, NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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5 - 12 years
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Best in industryBest in industry

Why are we building Urbancomapny?   Organized service commerce is a large yet young industry in India. While India is a very large market for a home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today.   The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional's journeys are removed - and the experiences made more meaningful and joyful.   The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce they way Amazon transformed product commerce.   Job Description :   Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted platform thinking pretty at the very early stage of UC. We started building central platform teams who are dedicated solve for core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for an Engineering Manager for the Data Engineering team currently. A person who loves solving standardization, have strong platform thinking, opinions, have solved for Data Engineering, Data Science and analytics platform.   Job Responsibilities   Building high octane teams with high opinions and strong platform thinking Working on complex design and architectural problems. Solving funnel analytics, product insights and building a highly scalable data platform Experience in building Data Science Platform  Highly productive data-driven models to contribute to product success and building Visioning out the roadmap and thought process behind taking current tech stack to next level Building and maintaining the high NPS of 70% of platform products Strong decision-maker with hands-on experience Think about abstractions, systems and services and write high-quality code. Have an understanding of loopholes in current systems/architecture that can potentially break in the future and push towards solving them with other stakeholders. Think through complex architecture to build robust platforms to serve together all the categories and flows, solve for scale, and work on internally build services to cater to our growing needs.   Job Requirements   At least 1-2+ Years of experience in managing teams 5-8 years of experience in the industry solving complex problems from scratch and have graduate/post-graduate degrees from top-tier universities. A thinker with strong opinions and the ability to get those opinions into reality Prior experience of creating complex systems in the past. Ability to build scalable, sustainable, reliable, and secure products based on past experience and leading teams and projects by themselves. Ability to bring new practices, architectural choices, and new initiatives onto the table to make the overall tech stack more robust. History and familiarity with server-side architecture based on APIs, databases, infrastructure, and systems. Ability to own the technical road map for systems/components.   What can you expect?   A phenomenal work environment, with massive ownership and growth opportunities. A high performance, high-velocity environment at the cutting edge of growth. Strong ownership expectation and freedom to fail. Quick iterations and deployments – fail-fast attitude. Opportunity to work on cutting edge technologies. The massive, and direct impact of the work you do on the lives of people.

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Software Developer/Senior Software Developer
Software Developer/Senior Software Developer

via Clover
Founded 2018
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Remote, Bengaluru (Bangalore)
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2 - 7 years
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Best in industry{{renderSalaryString({min: 1000000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

Clover is a Demand-backed supply chain for perishables that is focused on quality, consistency, traceability and high degree of predictability. We work closely with our farming commuting enabling fresh vegetables to reach our customer. We are growing at breakneck speed and are rapidly expanding into new markets across India over the next 6 to 18 months. All this, built, scaled and managed by 100+ people working out of Bangalore and Hyderabad. Our work ensures fresh essentials are available to millions of people in Bangalore and Hyderabad.   How is this possible? It’s because we work with smart people. We are looking for Engineers in Bangalore to work with the Product Leader (Founder) and CTO and this is a meaning project for us and we are sure you will love the project as it touches everyday life and is fun. This will be a virtual consultation.   We want to start the conversation for the project we have for you, but before that, we want to connect with you to know what’s on your mind. Do drop a note sharing your mobile number and letting us know when we can catch up.   Clover Tech Team   Clover part of the Bangalore task force delivering vegetables and groceries Looking for Transformational Developers We are looking for a Java Developer with experience in building high-performing, scalable, applications. You will be part of the Engineering team that works on transformational applications in Agri Tech. Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing. Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems. Responsibilities Contribute in all phases of the development lifecycle Write well designed, testable, efficient code Ensure designs are in compliance with specifications Prepare and produce releases of software components Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review Requirements Proven hands-on Software Development experience Proven working experience in Java development Hands on experience in designing and developing applications using Java EE platforms Object Oriented analysis and design using common design patterns. Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc) Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) Experience in the Spring Framework Experience as a Sun Certified Java Developer Experience in developing web applications using at least one popular web framework (JSF, Wicket, GWT, Spring MVC) Experience with test-driven development

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Big Data Engineer
Big Data Engineer

Founded 2015
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Remote, Bengaluru (Bangalore)
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2 - 6 years
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Job Description: Big Data Engineer Status: Immediate JoinerTotal Experience: Minimum 5 years CTC - 6LPA to 18LPA Location: Bangalore The Big Data Engineer is part of an agile development team. I am building and working on enterprise software applications. The Big Data Engineer will be involved in all areas of system management from environment setup to production deployment.   About Happymonk:   Happy monk is AI and Emerging Technologies Thinktank helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you Build Real-time data pipelines create infrastructure, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of Research and developer specialists and engineers but will “slice and dice” data using your methods, creating new visions for the future.   More information can be found at www.happymonk.co   Duties and Responsibilities- The duties and responsibilities of the Big Data engineering. Engineer include: Working with an agile team to setup and configure cloud-based environments. Design and develop secure cloud system architectures by established standards. Actively participate in design meetings with the development team. Design and implement a highly scalable CI/CD pipeline. Analyzing and resolving technical and application problems. Adhering to high-quality development principles while delivering solutions on-time and on-budget. Experience in dimensional data modeling, ETL development, and Data Warehousing, Data Lakes Designing, implementing, and testing through azure and private hostings Leading and mentoring as a senior member of the Engineering team Developing and following best practices relative to design, implementation, and testing Producing professional, documented designs Prototyping new ideas or technologies to prove efficacy and usefulness in production Following agile/Scrum practices A rebuilt entire operating platform on cloud technologies after operating for many years on traditional, self-hosted infrastructure components Develop Data streams, and REST API's to integrate with partners and customers in real-time Built a generic service structure on azure that is deployed and scaled to run a variety of platform components dynamically Building a next-generation tools platform for creating, managing and deploying multi-channel outreach campaigns in the AWS cloud, designed as a single page web UI and rules engine leveraging .Net, jQuery, WCF, and JSON         Constructing a state-of-the-art data lake  using EMR, Spark, NiFi, Kafka, Java        Building voice-enabled applications via SIP        Exploring AI bots to help answer common healthcare-related questions       Work on Electronic sensor data through protocols like MQTT, OVIN based protocols       Design and develop large scale, high-volume, and high-performance data pipelines with large sets of data from different sources       Create Data pipes technical leadership in the Big Data space (Vertica, Hadoop, SQL Server, Oozie, Hive, Avro, Spark, Scala, Java, Python, RedShift, Scala)       Select and integrate Big Data tools and frameworks required to provide capabilities required by business functions, while keeping in mind hardware, software & financial constraints       Build data pipelines that are scalable, repeatable, and secure, and can serve multiple purposes.        Desired Skills & Experience - Minimum Requirements Master’s degree in Computer Science or a related discipline. Strong understanding of Linux systems. Strong within C, C++ Java, Scala, Golang a plus Knowledge of scripting languages a plus Knowledge of cloud architecture concepts (IaaS, PaaS, SaaS) Basic understanding of Containers vs VMs. Build extensive monitoring of important services. Strong desire to expand knowledge in modern cloud architectures Knowledge of System Security Concepts (PenTest, Vulnerability analysis) Familiarity with version control concepts (SVN) Knowledge of testing principles   Preferred Technical Cloud Skills (knowledge a plus) Experience with IaaS/PaaS/SaaS development environments (e.g. AWS, Heroku, etc.) Securing Web applications (Reverse proxies, firewalls, e.g. Cloudflare, etc.) Experience with container orchestration systems, Kubernetes Preferred.

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Senior Data Scientist
Senior Data Scientist

Founded 2015
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Remote, Bengaluru (Bangalore)
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5 - 8 years
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Best in industry{{renderSalaryString({min: 500000, max: 1000000, duration: "undefined", currency: "INR", equity: false})}}

Senior Data Scientist Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 5+ years of experience in applying AI to practical and comprehensive technology solutions   7+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation   Senior Position 8LPA/CTC-14LPA/CTC Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries

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Software Developer
Software Developer

Founded 2019
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Bengaluru (Bangalore)
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3 - 6 years
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Best in industry{{renderSalaryString({min: 1500000, max: 2500000, duration: "undefined", currency: "INR", equity: false})}}

As a front-end developer at Enthire, you will be responsible for ensuring the alignment of web design and user experience requirements, optimizing web pages for maximum efficiency and maintaining brand consistency across all web pages, among other duties. Interest and experience in the latest methodologies goes a long way here and we are looking for people who are passionate about the world of value-driven solution delivery.  Responsibilities: Determining the structure and design of web pages. Ensuring user experience determines design choices. Developing features to enhance the user experience. Ensuring web design is optimized for smartphones. Building reusable code for future use. Optimizing web pages for maximum speed and scalability. Maintaining brand consistency throughout design. Participate in code and design reviews.  Collaborate with other amazing engineers to create and power the most exciting experiences for Enthire’s stakeholders.  Minimum Requirements: BS/MS in Computer Science or related field. Understanding of key design principles. 3+ years of Javascript experience including concepts like asynchronous programming, closures, types and ES6. 3+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, responsive and adaptive design.  1+ year of VueJS experience, including concepts of vue-router, VueX.  Understanding of server-side CSS. Good problem solving skills. Excellent verbal communication skills. Good interpersonal skills.

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Senior Software Engineer (Architect), Backend
Senior Software Engineer (Architect), Backend
at Uber

via Uber
Founded 2012
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Bengaluru (Bangalore)
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7 - 15 years
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Best in industry{{renderSalaryString({min: 0, max: 0, duration: "undefined", currency: "INR", equity: false})}}

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:    Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.  Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders. Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus. Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team. Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes. What You’ll Do Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams. Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.  Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.   What You’ll Need 7+ years experience in building large scale products, distributed systems in a high caliber environment. Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt. Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala. Platform Engineering: Solid understanding of distributed systems and operating systems fundamentals such as concurrency, multithreading, file systems, locking etc. Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed. A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement. Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

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Senior Software Engineer (Architect), Data
Senior Software Engineer (Architect), Data
at Uber

via Uber
Founded 2012
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Bengaluru (Bangalore)
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7 - 15 years
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Best in industry{{renderSalaryString({min: 0, max: 0, duration: "undefined", currency: "INR", equity: false})}}

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:    Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.  Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders. Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus. Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team. Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes. What You’ll Do Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams. Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.  Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.   What You’ll Need 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment. Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt. Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala. Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc. Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed. A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement. Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

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Azure Data Engineer
Azure Data Engineer

Founded 2015
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Bengaluru (Bangalore)
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6 - 11 years
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Best in industry{{renderSalaryString({min: 1100000, max: 2200000, duration: "undefined", currency: "INR", equity: false})}}

Skill 1: Azure Data Engineering• Strong Azure and data background with overall 5 to 12 years of experience along with Industry knowledge .• Strong experience in Azure ecosystem such as Azure Data Factory, Azure Databricks, Azure Data Lake and Azure Synapse Analytics and ADLS2• Strong hands on knowledge on Databricks (with Python or PySpark or Spark SQL or SCALA as language)• End to end implementation experience in data analytics solutions (data ingestion, processing, provisioning and visualization) for large scale and complex environments• Strong SQL Datawarehouse Knowledge• Hands on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development• End to end Cloud solution on Azure (ADLS, Azure Data factory, Azure Analysis Services , Azure Synapse Analytics )• Batch solution and distributed computing using ETL/ELT (Spark SQL Spark Data frame ADF)• DWBI (MSBI, Oracle, Sql Server), Data modelling, performance tuning• Mentor and lead a data engineering teams to design, develop, test and deploy high performance data analytics solutions Roles and Responsibilities• Power BI and Azure Analysis Service are good to haveSkill 1: Azure Data Engineering• Strong Azure and data background with overall 5 to 12 years of experience along with Industry knowledge .• Strong experience in Azure ecosystem such as Azure Data Factory, Azure Databricks, Azure Data Lake and Azure Synapse Analytics and ADLS2• Strong hands on knowledge on Databricks (with Python or PySpark or Spark SQL or SCALA as language)• End to end implementation experience in data analytics solutions (data ingestion, processing, provisioning and visualization) for large scale and complex environments• Strong SQL Datawarehouse Knowledge• Hands on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development• End to end Cloud solution on Azure (ADLS, Azure Data factory, Azure Analysis Services , Azure Synapse Analytics )• Batch solution and distributed computing using ETL/ELT (Spark SQL Spark Data frame ADF)• DWBI (MSBI, Oracle, Sql Server), Data modelling, performance tuning• Mentor and lead a data engineering teams to design, develop, test and deploy high performance data analytics solutions Roles and Responsibilities• Power BI and Azure Analysis Service are good to have

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SDE-2 ( Data)
SDE-2 ( Data)

Founded 2014
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Remote, NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore), Hyderabad
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3 - 8 years
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Why are we building Urban Company?-Organized service commerce is a large yet young industry in India. While India is a very large market for a home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today. The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other.    - The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional's journeys are removed - and the experiences made more meaningful and joyful. Urban Company is a - services platform-, with the bold ambition to organize the key verticals within the service commerce industry, bringing in the benefits of scale - structured processes, systems, standardization, transparency, and trust.    - This platform will enable billions of dollars in commerce annually, and create jobs for 1 million+ service professionals. The key industries that we are going to organize over the next few years include - home improvement, home maintenance & repairs, appliance repairs, salon spa & makeup services, fitness & health at home, academic tuition, photography & events, packing & moving, etc .Job Responsibilities :- Over the last 5 years in the Urban Company journey, we have grown from a single monolith to 65 microservices. We deliver throughout around 100Mn/day. Our database has grown from a mere single Monolith cluster to 18 clusters in total with around 8TB of data. So overall engineering tech stack has grown tremendously in recent years. For the last 2 years, the platform team has been working on solving core engineering problems with focused effort.- Platform team is responsible for writing really high-quality code that is highly abstracted, pluggable, performant, extensible, and opens sourceable.As an SDE-2 in the data platform, you will be working on :- Platform first approach to an engineering problem.- Creating highly autonomous systems with minimal manual intervention.- Frameworks which can be extended to a larger audience through open source- Extending and modifying the open-source projects to adopt as per Urban Company use case.- Building platform to solve for Data Availability and Data consumption with ease- Scalable data pipeline and ingestion platformWho can apply?- Bachelors/master's in computer science from top tier Engineering School- 3-7 years prior engineering experience in building scalable systems- Experience with data pipeline and workflow management tools like Luigi, Airflow, etc- Proven ability to work on a fast-paced environment- History and Familiarity of server-side development of APIs, databases, dev-ops, and systems- Fanatic about building scalable, reliable data products- Experience with Big data tools: Hadoop, Kafka/Kinesis, Flume, etc is added advantage- Experience with Relational SQL and NO SQL databases like HBase, Cassandra, etc- Experience with stream processing engines like Spark, Link, Storm, etc is added advantageWhat can you expect?- Work closely with the founding and the leadership team on key projects- Execute highly scalable applications & implement best practices- A phenomenal work environment, with massive ownership and growth opportunities- Quick iterations and deployments - fail-fast attitude

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Senior Architect
Senior Architect

Founded 2001
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Remote, Bengaluru (Bangalore)
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15 - 20 years
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Best in industry{{renderSalaryString({min: 5000000, max: 12000000, duration: "undefined", currency: "INR", equity: false})}}

About the Company, Conviva:Conviva is the leader in streaming media intelligence, powered by its real-time platform. More than 250 industry leaders and brands – including CBS, CCTV, Cirque Du Soleil, DAZN, Disney+, HBO, Hulu, Sky, Sling TV, TED, Univision, and Warner Media – rely on Conviva to maximize their consumer engagement, deliver the quality experiences viewers expect and drive revenue growth. With a global footprint of more than 500 million unique viewers watching 150 billion streams per year across 3 billion applications streaming on devices, Conviva offers streaming providers unmatched scale for continuous video measurement, intelligence and benchmarking across every stream, every screen, every second. Conviva is privately held and headquartered in Silicon Valley, California, with offices around the world. For more information, please visit us at www.conviva.com.What you get to do: Be a thought leader. As one of the senior most technical minds in the India centre, influence our technical evolution journey by pushing the boundaries of possibilities by testing forwarding looking ideas and demonstrating its value. Be a technical leader: Demonstrate pragmatic skills of translating requirements into technical design. Be an influencer. Understand challenges and collaborate across executives and stakeholders in a geographically distributed environment to influence them. Be a technical mentor. Build respect within team. Mentor senior engineers technically andcontribute to the growth of talent in the India centre. Be a customer advocate. Be empathetic to customer and domain by resolving ambiguity efficiently with the customer in mind. Be a transformation agent. Passionately champion engineering best practices and sharing across teams. Be hands-on. Participate regularly in code and design reviews, drive technical prototypes and actively contribute to resolving difficult production issues.What you bring to the role: Thrive in a start-up environment and has a platform mindset. Excellent communicator. Demonstrated ability to succinctly communicate and describe complexvtechnical designs and technology choices both to executives and developers. Expert in Scala coding. JVM based stack is a bonus. Expert in big data technologies like Druid, Spark, Hadoop, Flink (or Akka) & Kafka. Passionate about one or more engineering best practices that influence design, quality of code or developer efficiency. Familiar with building distributed applications using webservices and RESTful APIs. Familiarity in building SaaS platforms on either in-house data centres or public cloud providers.

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Software Developer
Software Developer

via zyoin
Founded 2005
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Bengaluru (Bangalore)
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2 - 4 years
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Required Skills/Qualifications:  ∙         B.Tech/MCA in Comput Required Skills/Qualifications: Any Backend Technology is acceptable ∙         B.Tech/MCA in Computer Science or equivalent with 1-3 years’ experience with server-side web application development. ∙         Extensive development experience using LAMP or MEAN stack, RESTful web services or Node.js, HTML and CSS. ∙         Good understanding of Data structures and Relational Databases like MySQL or NoSQL Databases like MongoDB. ∙         Experience working with services in AWS such as EC2, RDS, and ELBs and have knowledge of VPCs. ∙         Experience with server side and client side MVC frameworks, Kafka Ansilble,Jenkins. ∙         Exposure to Continuous Integration (CI) and Continuous Deployment (CD), automated testing and agile development methods. ∙         Understanding of Version Management Tools like GitHub.   er Science or equivalent with 1-3 years’ experience with server-side web application development. ∙         Extensive development experience using LAMP or MEAN stack, RESTful web services or Node.js, HTML and CSS. ∙         Good understanding of Data structures and Relational Databases like MySQL or NoSQL Databases like MongoDB. ∙         Experience working with services in AWS such as EC2, RDS, and ELBs and have knowledge of VPCs. ∙         Experience with server side and client side MVC frameworks, Kafka Ansilble,Jenkins. ∙         Exposure to Continuous Integration (CI) and Continuous Deployment (CD), automated testing and agile development methods. ∙         Understanding of Version Management Tools like GitHub.

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Rishabh Wadhwa
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