Spark Scala Developer

Key Responsibilities

• Provide technical leadership in the design, development, and delivery of scalable, high-performance software systems.
• Partner with product managers, architects, and cross-functional teams to define technical strategy and ensure alignment with business objectives.
• Lead by example in writing high-quality, testable, and maintainable code.
• Drive best practices in software engineering, including code reviews, system design, and performance optimization.
• Mentor and guide engineers across teams, fostering a culture of technical excellence and continuous learning.
• Evaluate and introduce new technologies, tools, and frameworks to improve productivity, scale and system robustness.

Required Skills & Qualifications

• Strong foundation in computer science fundamentals: data structures, algorithms, and functional programming techniques.
• Expertise in Scala, with strong preference for functional programming.
• Solid experience in software design, implementation, and debugging, including inter-process communication and multi-threading.
• Hands-on experience with distributed systems and event-driven architectures.
• Familiarity with databases (Postgres preferred).
• Proficiency with Apache Kafka for messaging and persistence.
• Working knowledge of Python for unit and integration testing.
• Basic to intermediate experience with Ansible for automation.
• Strong problem-solving, analytical, and communication skills.

Nice-to-Have / Bonus Skills

• Experience with modeling in YANG.
• Experience with Scala libraries such as Cats Effect (2/3), Monix, and Akka.
• Experience working in Agile/Scrum environments.

What We Offer

• Opportunity to work on cutting-edge technologies in a collaborative environment.
• A role with strong ownership, technical influence, and visibility across teams.
• Competitive compensation and benefits.

• Build campaign generation services which can send app notifications at a speed of 10 million a minute
• Dashboards to show Real time key performance indicators to clients
• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds
• Building highly available & horizontally scalable platform services for ever growing data
• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability
• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed
• You will build backend services and APIs to create scalable engineering systems.
• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
• Identify and improvise areas of improvement through data insights and research.

• 2-5 years of experience in backend development and must have worked on Java/shell/Perl/python scripting.
• Solid understanding of engineering best practices, continuous integration, and incremental delivery.
• Strong analytical skills, debugging and troubleshooting skills, product line analysis.
• Follower of agile methodology (Sprint planning, working on JIRA, retrospective etc).
• Proficiency in usage of tools like Docker, Maven, Jenkins and knowledge on frameworks in Java like spring, spring boot, hibernate, JPA.
• Ability to design application modules using various concepts like object oriented, multi-threading, synchronization, caching, fault tolerance, sockets, various IPCs, database interfaces etc.
• Hands on experience on Redis, MySQL and streaming technologies like Kafka producer consumers and NoSQL databases like mongo dB/Cassandra.
• Knowledge about versioning like Git and deployment processes like CICD.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

What you get to do in this role:

Work on extremely high scale RUST web services or backend systems.

Design and develop solutions for highly scalable web and backend systems.

Proactively identify and solve performance issues.

Maintain a high bar on code quality and unit testing.

What you bring to the role:

5+ years of hands-on software development experience.

At least 2+ years of RUST development experience.

Knowledge of cargo packages for kafka, redis etc.

Strong CS fundamentals, including system design, data structures and algorithms.

Expertise in backend and web services development.

Good analytical and troubleshooting skills.

What will help you stand out:

Experience working with large scale web services and applications.

Exposure to Golang, Scala or Java

Exposure to Big data systems like Kafka, Spark, Hadoop etc.

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! 

Software Developer

Roles and Responsibilities

• Apply knowledge set to fetch data from multiple online sources, cleanse it and build APIs on top of it
• Develop a deep understanding of our vast data sources on the web and know exactly how, when, and which data to scrap, parse and store
• We're looking for people who will naturally take ownership of data products and who can bring a project all the way from a fast prototype to production.

Desired Candidate Profile

• At Least 1-2 years of experience
• Strong coding experience in Python (knowledge of Javascripts is a plus)
• Strong knowledge of scraping frameworks in Python (Request, Beautiful Soup)
• Experience with SQL and NoSQL databases
• Knowledge in Version Control tools like GIT.
• Good understanding and hands-on with scheduling and managing tasks with cron.

Nice to have:

• Experience of having worked with elastic search
• Experience with multi-processing, multi-threading, and AWS/Azure is a plus
• Experience with web crawling is a plus
• Deploy server/related components to staging, live environments.
• Experience with cloud environments like AWS,etc as well as cloud solutions like Docker,Lambda, etc
• Experience in DevOps and related practices to improve development lifecycle, continuous delivery with high quality is an advantage.
• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement