Must have skills required :

Scala, Java, Golang, Python, Hive, Apache Spark, Flink, Apache Kafka

Good to have skills :

Kubernetes, AWS, Graph Database/Neo4j

Netskope (One of Uplers Clients) is Looking for:

Senior Staff Software Engineer, Data Platform who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments.

What's in it for you

You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics

Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products

You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills.

What you will be doing

• Designing and implementing planet scale distributed data platforms, services and frameworks including solutions to address high-volume and complex data collections, processing, transformations and analytical reporting
• Working with the application development team to implement data strategies, build data flows and develop conceptual data models
• Understanding and translating business requirements into data models supporting long-term solutions
• Analyzing data system integration challenges and proposing optimized solutions
• Researching to identify effective data designs, new tools and methodologies for data analysis
• Providing guidance and expertise to the development community in effective implementation of data models and building high throughput data access services
• Providing technical leadership in all phases of a project from discovery and planning through implementation and delivery

Required skills and experience

• 15+ years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations
• Ability to conceptualize and articulate ideas clearly and concisely
• Excellent algorithms, data structure, and coding skills with either Java, Python or Scala programming experience
• Proficiency in SQL
• Experience building products using one from each of the following distributed technologies:
• Relational Stores (i.e. Postgres, MySQL or Oracle)
• Columnar or NoSQL Stores (i.e. Big Query, Clickhouse, or Redis)
• Distributed Processing Engines (i.e. Apache Spark, Apache Flink, or Celery)
• Distributed Queues (i.e. Apache Kafka, AWS Kinesis or GCP PubSub)
• Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document)
• Experience working with GCP, Azure, AWS or similar cloud platform technologies a plus
• Excellent written and verbal communication skills
• Bonus points for contributions to the open source community

Education

BE/ B Tech or equivalent required, ME / M Tech or equivalent strongly preferred