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Data Engineering Team Lead
⚙️ Really an Engineer ⚙️
python
scala
sql
java
spark
aws
s3
hadoop
airflow

Appsflyer is hiring a
Data Engineering Team Lead

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

AppsFlyer continues to grow rapidly: More customers are using our products generating more data that we process and analyze to deliver insights that help our customers make the right decisions. One of our greatest challenges is to bring huge amounts of traffic data together with customer data in order to enable dozens of analysts and hundreds of internal stakeholders to better understand our customers needs and usage.

The Biz Data Engineering team (BDE) was tasked with the mission of addressing this challenge and creating the platform that brings traffic data and business data together and creates AppsFlyer data warehouse

We are looking for a team lead for our BDE team.

We are looking for an experienced manager with good leadership and organizational skills as well as a hands-on developer who has experience working with Spark, Airflow, Python/Scala and the big data ecosystem, especially over AWS platform (S3, Athena, Kinesis, SQS).
As a mentor, you will also support the company's analysts. 

What You’ll Do

  • Be part of an exciting transition to cutting-edge technology while leading an excellent team.
  • Develop and design end-to-end ELT and ETL, which include data ingestion and transformation logic, involving different data sources.
  • Improve the scalability and performance of existing data pipelines.
  • Nurture, grow and mentor a team of data engineers and support their professional and personal development.
  • 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

  • At least 5 years of engineering experience (preferably in Big Data environments)
  • At least 2 years of experience with Spark and its ecosystem.
  • At least 1 year of engineering management experience
  • Deep familiarity with SQL, data modeling, and databases
  • Experience with public cloud environments (AWS will be a bonus) and Hadoop ecosystem.
  • Proficiency with Scala, Java or Python
  • Experience in an agile development methodology, CI/CD, Git/Bitbucket, Jenkins, Airflow
  • Positive attitude and willingness to take ownership
  • Ability to see the "big picture" and to understand the business side of things

Bonus Points:

  • Introduced by an AppsFlyer team member

As a global company operating in 16 countries across 5 continents, 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

How to Apply?
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