Senior Data Engineer

Are you ready to take your career to the next level?

AppsFlyer is rapidly growing. More customers are using more of our products while generating more data that we process and analyze in order to deliver insights that ensure our customers make the best choices. AppsFlyer is a data driven company in the most extreme sense. Dozens of researchers and analysts from all departments build dashboards and run analyses that move business and product decisions in AppsFlyer.

The role of the BDE team is to create the data infrastructure and processes that make analytics possible. We are looking for a Senior Data Engineer to join our BDE  team! 

Who are you, our Senior Data Engineer? You’re an experienced backend engineer with a strong background in writing ETLs and complicated data processing pipelines. You’re deeply familiar with modern data processing and orchestration stack (e.g. Spark, Hadoop, Airflow), have a strong problem-solving attitude and, most importantly, you’re passionate about being an enabler for analytics at super scale. 

Working with this enormous volume of data begins with massive ETL pipelines built using cutting-edge technologies such as Kafka, BigQuery,  Airflow, S3, PostgreSQL, Athena, SQS, Redis, and especially Spark. We are big believers in working with the right tool for the right job, including programming languages. We run a truly polyglot shot with Scala, Python, Go and Node being especially common here at AppsFlyer. 

What you’ll do

• Develop end-to-end ETLs and data infrastructure features from data processing logic to database choice and implementation through to API development
• Improve the scalability and performance of existing data pipelines
• Mentor, advise, and work collaboratively within the Business Data and Development group, with other development teams, and with all other business teams of the company
• Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible

What you have

• 4+ years of experience in data engineering in Big Data environments 
• 2+ years of experience with Spark and its ecosystem
• Experience using JVM stack, build tools,  and environment (Scala would be preferred)
• Experience with public cloud environments (AWS will be a bonus), Hadoop ecosystem, SQL and NoSQL databases, and SaaS
• High proficiency with Python and at least one JVM-based language (Scala, Java, or Kotlin)
• Proficiency with SQL and experience with ETL and data modeling and development
• Positive attitude and willingness to take ownership
• A mindset of continuous learning and the desire to try new things
• Ability to see the "big picture" and to understand the business side of things

As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO