Senior Data Engineer

Key Skills

Aartificial intelligence, AWS, Cybersecurity, Data Analysis, Data Analytics, Data Engineering, Data Lake, Data Warehousing, Databricks, Effective communication skills, Machine learning techniques, Python Programming, Scala Programming, SPARK Programming, User support and Troubleshooting

Job Description

BlackBerry – the iconic brand you know and trust – is now a market leading cybersecurity software and services company.

Creating the gold standard for unified endpoint security (UES) and unified endpoint management (UEM), BlackBerry Spark offers the broadest set of security capabilities, management tools and visibility covering people, devices, networks, apps, and automation. BlackBerry Spark uses artificial intelligence (AI), machine learning and automation to provide improved cyber threat prevention and remediation, while offering transparency across all endpoints for better management and control.

Among the first to market with full seventh generation AI for cybersecurity, BlackBerry Cylance helps users understand risks and make intelligent decisions to mitigate them before they happen. Today BlackBerry secures 96% of the threat landscape and we were delighted to be named a 2023 Customers’ Choice for Gartner Peer Insights for EPP and UEM. Named by Cybersecurity Ventures as 1 of the top 150 companies to watch, we securely connect more than 500 million mobile, desktop and IoT endpoint devices for G7 governments, 9/10 global financial institutions as well as the largest global aerospace, defense, healthcare, automotive and media companies. Chances are, we are more a part of your life today than we ever were as a handset company.

Come join us as we deliver ‘Intelligent Security. Everywhere.’

Are you the person we are looking for?

We are looking for a passionate Senior Data Engineer to join the global Data Architecture team here at BlackBerry. Working with the Sr. Manager, Database Automation, you will play a key role in building data collection and processing pipelines, as well as supporting users for BlackBerry cybersecurity platforms and products!

In return for your skills, experience and passion, we offer a great salary, bonus & outstanding benefits package. In short, you bring the talent, and we will provide the environment, tools and share our development know-how to accelerate your professional growth & development.

You will:

• Translate data requirements from requestors of varying levels of technical expertise into data solutions

• Identify, collect, clean, analyze, and model large amounts of complex data in a distribute fashion

• Interpret data analysis results and provide actionable reports

• Design and implement tools, data models, and dashboards to help visualize or monitor data

• Create Automated Reporting Solutions

• Utilize advanced ability to troubleshoot and resolves problems on a regular basis

• Mentor and train other data analysts and similar roles

• Stay up-to-date on the latest applicable technologies; attends applicable training, conferences, and learns new tools/technologies as needed

• Prioritize and completes multiple tasks with little or no supervision

• Protect BlackBerry operations by keeping information confidential

• Perform other duties as assigned

You will bring:

• Bachelor’s or high level degree preferred; relevant experience can be substituted for educational degree

• 8-12 years as data engineer experience

• At least 2 years databricks experience/skill.

• A strong team player and work well within a diverse, cross-functional team

• Highly skilled in Structured Query Language (SQL) programming

• Teamwork and communication skills. You will be a strong teammate who works well within a diverse, multi-functional team

• Coding skills in one or more programming languages. Python and Scala preferred

• Experience processing large (petabytes) amounts of structured and unstructured complex data, in batches and real-time streaming

• Experience in using and configuring distributed processing systems. Apache Spark experience preferred

• Hands on experience building and maintaining ETL systems

• Experience deploying and configuring infrastructure in public clouds such as Amazon Web Services (AWS)

Above & Beyond:

• Experience working with data warehouses and data lakes.