Big Data Engineer (Python/Java/Scala)

TL;DR

Big Data Engineer (Python/Java/Scala): Designing and implementing high-scale systems to retrieve and analyze data from millions of digital users with an accent on data pipeline optimization and scalable architecture. Focus on building reliable data ingestion systems and integrating Machine Learning technologies into production.

Location: Tel Aviv, Israel (Hybrid)

Company

hirify.global is a digital intelligence platform that empowers businesses to analyze global online behavior to drive their digital strategies.

What you will do

• Design and implement complex high-scale systems using a variety of technologies.
• Collaborate with data scientists and analysts to bring new solutions and algorithms to production.
• Improve existing code infrastructure and data pipelines to eliminate bottlenecks.
• Experiment with technologies in the domain of Machine Learning and big data processing.
• Develop monitoring infrastructure for data pipelines to ensure reliable ingestion and calculation.

Requirements

• BSc degree in Computer Science, Engineering, or a related technical field.
• At least 4 years of software or data engineering experience in Python, Java, or Scala.
• Strong knowledge of Data Structures, Design Patterns, and Object Oriented Programming.
• Proficiency with CI/CD practices and Git.
• Excellent communication skills and ability to work independently in a fast-paced environment.

Nice to have

• Experience with containerization technologies like Docker and Kubernetes.
• Proven track record in designing and productizing complex big data pipelines.
• Familiarity with cloud providers such as AWS, Azure, or GCP.
• Experience with Spark, Airflow, Kafka, Parquet, Databricks, or EMR.

Culture & Benefits

• Competitive compensation packages.
• Strong focus on community with regular team outings and happy hours.
• Extensive career growth opportunities via personalized coaching and learning solutions.
• Inclusive and diverse workplace culture committed to equality and mutual respect.
• Opportunity to work with a market-leading digital intelligence product.