ReasonLabs is a rapidly growing company in the cybersecurity industry. It was founded in 2016 with the goal of developing a powerful defense against ever-evolving cyber threats to users around the world. Today, ReasonLabs protects over 100M active users by detecting more than 24M threats every month.

Job description:

We are actively seeking a dedicated and motivated Data Engineering Team Lead to bolster one of our pivotal teams. In this dynamic leadership position, you will be responsible for overseeing the management and manipulation of massive datasets collected from our global customer base. You'll thrive in our fast-paced, collaborative work setting, equipped with cutting-edge technology, while leading and mentoring a talented team of data engineers. If you are the type of person who can take ownership of a project, cultivate a culture of creativity, align with Agile methodologies, and stay committed to your colleagues and assignments, we are eager to connect with you.

What You'll Do:

• Develop deep expertise in data and implement controls to maintain data privacy, security, compliance, quality, and operational efficiency
• Collaborate with the DevOps infrastructure team to diagnose and resolve issues
• Design and implement data lake and data warehouse strategies and roadmaps
• Independently conceive, develop, and deploy new data transformations
• Lead and manage a data team, ensuring high performance and creating a positive and effective work environment
• Oversee and enhance existing processes with minimal supervision
• Execute the deployment of our new data pipeline, which incorporates cutting-edge technologies

Requirements:

• 3+ years of proven experience as a team lead or similar leadership role in a data-focused environment
• 5+ years of proven experience as a data engineer
• Experience designing, implementing, and maintaining complex ETL, Data Pipelines, and SQL queries
• Experience at AWS cloud platform and its data lake formation and stack: S3, Airflow, Glue, EMR, Redshift, RDS, EC2, VPC
• Strong knowledge of Spark and Presto/Trino
• Strong knowledge of modern data warehousing and data lake solutions like Delta Lake and Redshift
• Coding proficiency in Python programming languages
• Proven experience in data streaming technologies, including Kafka and Kinesis
• Proficiency in English at a high-intermediate level
• Excellent leadership, communication, and interpersonal skills
• Self-motivated with a proactive attitude toward problem-solving
• Outstanding communication skills with the ability to distill and convey data-driven insights

Advantages:

• Familiarity with Databricks or Snowflake
• Familiarity with JavaScript or GoLang programming languages
• Hands-on experience with Docker, Serverless, and CI/CD
• Experience at pub/sub: SQS, Events Hub
• Hands-on experience with Terraform
• Familiarity with Agile or Scrum software development methodologies