Big Data Engineer

As Conviva is expanding, we are building products providing deep insights into end-user experience for our customers.

Platform and TLB Team

The vision for the TLB team is to build data processing software that works on terabytes of streaming data in real-time. Engineer the next-gen Spark-like system for in-memory computation of large time-series datasets – both Spark-like backend infra and library-based programming model. Build a horizontally and vertically scalable system that analyses trillions of events per day within sub-second latencies. Utilize the latest and greatest big data technologies to build solutions for use cases across multiple verticals. Lead technology innovation and advancement that will have a big business impact for years to come. Be part of a worldwide team building software using the latest technologies and the best of software development tools and processes.

What You’ll Do

This is an individual contributor position. Expectations will be on the below lines:

• Design, build and maintain the stream processing, and time-series analysis system which is at the heart of Conviva’s products
• Responsible for the architecture of the Conviva platform
• Build features, enhancements, new services, and bug fixing in Scala and Java on a Jenkins-based pipeline to be deployed as Docker containers on Kubernetes
• Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements, etc.
• Lead a team to develop a feature or parts of a product
• Adhere to the Agile model of software development to plan, estimate, and ship per business priority

What you need to succeed

• 5+ years of work experience in software development of data processing products.
• Engineering degree in software or equivalent from a premier institute.
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
• Excellent programming and debugging skills on the JVM. Proficient in writing code in Scala/Java/Rust/Haskell/Erlang that is reliable, maintainable, secure, and performant
• Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc.
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning, etc.
• Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their business ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

Designation: Perception Engineer (3D) 

Experience: 0 years to 8 years 

Position Type: Full Time 

Position Location: Hyderabad 

Compensation: As Per Industry standards 

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, still, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

Description: 

We are looking for engineers to work on applied research problems related to perception in autonomous driving of electric tractors. The team works on classical and deep learning-based techniques for computer vision. Several problems like SFM, SLAM, 3D Image processing, multiple view geometry etc. Are being solved to deploy on resource constrained hardware. 

Technical Skills: 

• Background in Linear Algebra, Probability and Statistics, graphical algorithms and optimization problems is necessary. 
• Solid theoretical background in 3D computer vision, computational geometry, SLAM and robot perception is desired. Deep learning background is optional. 
• Knowledge of some numerical algorithms or libraries among: Bayesian filters, SLAM, Eigen, Boost, g2o, PCL, Open3D, ICP. 
• Experience in two view and multi-view geometry. 
• Necessary Skills: Python, C++, Boost, Computer Vision, Robotics, OpenCV. 
• Academic experience for freshers in Vision for Robotics is preferred.  
• Experienced candidates in Robotics with no prior Deep Learning experience willing to apply their knowledge to vision problems are also encouraged to apply. 
• Software development experience on low-power embedded platforms is a plus. 

Responsibilities: 

• Understanding engineering principles and a clear understanding of data structures and algorithms. 
• Ability to understand, optimize and debug imaging algorithms. 
• Ability to drive a project from conception to completion, research papers to code with disciplined approach to software development on Linux platform. 
• Demonstrate outstanding ability to perform innovative and significant research in the form of technical papers, thesis, or patents. 
• Optimize runtime performance of designed models. 
• Deploy models to production and monitor performance and debug inaccuracies and exceptions. 
• Communicate and collaborate with team members in India and abroad for the fulfillment of your duties and organizational objectives. 
• Thrive in a fast-paced environment and can own the project end to end with minimum hand holding. 
• Learn & adapt to new technologies & skillsets. 
• Work on projects independently with timely delivery & defect free approach. 
• Thesis focusing on the above skill set may be given more preference. 

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health benefits commensurate with the role you’ll play in our success.  

A proficient, independent contributor that assists in technical design, development, implementation, and support of data pipelines; beginning to invest in less-experienced engineers.

Responsibilities:

- Design, Create and maintain on premise and cloud based data integration pipelines. 
- Assemble large, complex data sets that meet functional/non functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data pipelines to enable BI, Analytics and Data Science teams that assist them in building and optimizing their systems
- Assists in the onboarding, training and development of team members.
- Reviews code changes and pull requests for standardization and best practices
- Evolve existing development to be automated, scalable, resilient, self-serve platforms
- Assist the team in the design and requirements gathering for technical and non technical work to drive the direction of projects

Technical & Business Expertise:

-Hands on integration experience in SSIS/Mulesoft
- Hands on experience Azure Synapse
- Proven advanced level of writing database experience in SQL Server
- Proven advanced level of understanding about Data Lake
- Proven intermediate level of writing Python or similar programming language
- Intermediate understanding of Cloud Platforms (GCP) 
- Intermediate understanding of Data Warehousing
- Advanced Understanding of Source Control (Github)

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients

Position: Big Data Engineer

What You'll Do

Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. His/her job functions include

• Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
• Collaborate with stakeholders to design scalable solutions.
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
• A technical leader of Punchh’s big data platform that supports AI and BI products.
• Work with infra and operations team to monitor and optimize existing infrastructure 
• Occasional business travels are required.

What You'll Need

• 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
• Advanced degree in computer science, engineering or other related fields.
• Demonstrated strength in data modeling, data warehousing and SQL.
• Extensive knowledge with cloud technologies, e.g. AWS and Azure.
• Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
• Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
• Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
• Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility