Software Development Engineer - Big Data | Python/Java | Kubernetes | Hardoop/Spark | 1 to 4y

Job Title:

Software Development Engineer - Big Data | Python/Java | Kubernetes | Hardoop/Spark | 1 to 4y

About Skyhigh Security:

Skyhigh Security is a dynamic, fast-paced, cloud company that is a leader in the security industry.  Our mission is to protect the world’s data, and because of this, we live and breathe security. We value learning at our core, underpinned by openness and transparency. 

Since 2011, organizations have trusted us to provide them with a complete, market-leading security platform built on a modern cloud stack. Our industry-leading suite of products radically simplifies data security through easy-to-use, cloud-based, Zero Trust solutions that are managed in a single dashboard, powered by hundreds of employees across the world. With offices in Santa Clara, Aylesbury, Paderborn, Bengaluru, Sydney, Tokyo and more, our employees are the heart and soul of our company. 

Skyhigh Security Is more than a company; here, when you invest your career with us, we commit to investing in you. We embrace a hybrid work model, creating the flexibility and freedom you need from your work environment to reach your potential. From our employee recognition program, to our ‘Blast Talks' learning series, and team celebrations (we love to have fun!), we strive to be an interactive and engaging place where you can be your authentic self. 

We are on these too! Follow us on LinkedIn and Twitter@SkyhighSecurity.

Role Overview:

At Skyhigh Security, we are building ground-breaking technology to help enterprises enable and accelerate the safe adoption of cloud services. SSE products help the world’s largest organizations unleash the power of the cloud by providing real-time protection for enterprise data and users across all cloud services.
The Data Analytics team of our cloud service BU is looking for a capable, enthusiastic Big Data Engineer who will be a creative, innovative and results-oriented person willing to go the extra mile in a fast-paced environment. Take ownership of major big data components/services and all backend aspects of the software life cycle in a SaaS environment.
Data Analytics team manages big data pipelines and machine learning systems pertaining to our Skyhigh Security Cloud. We are responsible for analysing more than 40 terabytes of data per day, and we inspect close to billion activities of users in real time for threat protection and monitoring.

As a member of our engineering team, you’ll provide technical expertise (architecture, design, development, code reviews, use of modern static analysis tools, unit testing & system integration, automated testing,
etc.). The role requires frequent use of ingenuity, creativity and
thinking outside-the-box, in order to effectively contribute to our outstanding analytics solution and capabilities.

We firmly believe in our values, and it is what makes us tick as one of the successful team within Skyhigh Security. The more these values resonate with you better the chance of you thriving within our environment.

• You find clarity and make right decisions despite ambiguity
• You are curious in general and fascinated by how things work in this world
• You listen well before you respond to others
• You want to make an impact on the team and the company
• You are not afraid to speak your mind and willing to put the team ahead
• of yourself
• You are humble, and genuinely want to help your team members
• You can remain calm even in a most stressful situation
• You will aim for simplicity in whatever you do

The successful candidate possesses the excellent interpersonal and communication skills required to partner with other teams across the business to identify opportunities and risks and develop and deliver solutions that support business strategies. This individual will report into the Senior Engineering Manager within the Cloud Business Unit and will be based in Bangalore, India.

About the role:

• Build, test, automate, maintenance, and production support of big data pipelines and Hadoop ecosystem  
• Recognise the big picture and take initiative to solve the problem.
• Being aware of current big data technology trends & factoring this into current design and implementation.
• Identifies, recommends, coordinates, deliver timely knowledge to the globally distributed teams regarding technologies, processes, and tools
• Proactively identify and communicate roadblocks.

About You:

• Bachelor's degree in Computer Science or equivalent degree. Master's degree is a plus
• Overall 1 to 4 years of experience.
• Individual contribution as needed and coordinate with other teams
• Good experience in Python and Java.
• Experience in building of big data pipelines and Hadoop ecosystem.
• Effectively work within cross-functional teams, including other developers, QA, DevOps, product, and design.
• Good exposure to test frameworks like JUnit, Test NG, Cucumber and mocking frameworks.
• Develop, Test and implement automated big data pipelines using Python/Java
• Experience in any Automation Framework.
• Hands on experience on Robot Framework will be a plus..
• Exposure to Agile development, TDD, and Lean development
• Experience with AWS CloudFormation, Cloudwatch, SQS, Lambda is a plus.
• Hands-on experience in Hadoop and Spark will be plus.

Company Benefits and Perks:

We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Retirement Plans

• Medical, Dental and Vision Coverage

• Paid Time Off

• Paid Parental Leave

• Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

At Skyhigh Security, we are committed to creating a safe and trustworthy experience for our customers, employees, and candidates. Please be aware that fraudulent recruiting activity can occur through fake job postings or impersonated communications.

Skyhigh Security conducts interviews through professional channels only and does not use text messages, instant messaging, or group chats for interviews. We will never request sensitive personal information—such as your date of birth, Social Security number, or national ID number—during the interview process.

Skyhigh Security also does not require candidates to pay fees, purchase products or services, or process payments of any kind as part of the recruiting or hiring process. And Skyhigh Security will never keep any original work authorization documents that we may be required to review during the hiring process.