Lead Data Engineer
Istanbul, Turkey
BigData, Data

We are looking for a passionate Lead Data Engineer who would like to work with a top-notch technology stack in a friendly and cozy atmosphere for one of the greatest retail companies in the USA.

Why is this company one of the greatest? Founded in 1901, it prospered through two world wars, the Spanish flu, the Great Depression, the 2020 pandemic, and still produces the highest quality products and services for their customers.

The client’s company is based in Seattle with a technology orientation rooted in Silicon Valley. You will work with the cleverest minds, who are eager to build superb services to match business requirements and win market share.

And then there's Zoolatech! Just imagine a workplace and a team environment that you never want to leave once you have found it. Sound enticing? Apply to our position today and we can get you there.

Speaking about the core of the Client company’s analytics, Data Technology is pivotal to the Client’s customer experience. As a Lead Data Engineer, you will own the design and build the next generation of Data & Analytical Services and deliver on the strategic vision of Customer-focused features and services to enhance the Client’s “Customer Service Excellence”.

A Lead Data Engineer is a key part of the Client’s Technology team that applies scientific, mathematical, and social principles to design, build, and maintain technology products, devices, systems, and solutions.

You are the perfect candidate if you have experience in data transformation and modeling.

These are the technologies used in our project: Java, Spark, Kafka, Airflow, Hadoop cluster, AWS, TeraData, GCP BigQuery, Dataproc, Flink

  • Support the development and evolution of our data warehouse and BI platform.

  • Partner with the BI Manager, Data and BI Engineers, Program Managers, and Analysts on building a best-in-class suite of tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions.

  • Design and implement modernized ETL and data processing solutions through modernized cloud-based solutions (S3, Redshift, etc) and deprecate legacy on-premise solutions (Oracle, etc)

  • Develop data integration solutions leveraging multiple disparate sources.

  • Continual performance tuning and capacity planning for future growth potential.

  • Integrates broad working knowledge in related disciplines to create integrated technical innovations/ solutions for complex business situations

Must have:

  • 6+ years of relevant Data Engineering experience

  • Classical Data Warehouse, Data structures, Data marked, Data profiling

  • Experience writing advanced SQL

  • Cloud Computing Experience (e.g AWS, GCP, Azure)

  • Experience with GCP BigQuery and DataProc

  • ETL

  • Experience with one of Java, Python, or Scala

  • Solid experience with BigData


Nice to have:

  • Experience with Spark

  • Experience with Hadoop

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