Data Engineer
Data Engineer
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1 Vacancy
Job Description
Were looking for a Data Engineer to join our Data Engineering team. We build the data platform that powers decision-making across the entire company from product insights to customer analytics.
If you enjoy building scalable pipelines working with PySpark AWS and Databricks and want to grow your expertise in a collaborative team wed love to hear from you.
What Youll Actually Do Here:
Youll be part of a team that builds and operates the data platform behind many of the companys key functions supporting a variety of teams with diverse use cases from analytics to internal tools and customer-facing features. To support that range effectively we focus on standardization industry-standard tooling and best practices that make our solutions scalable reliable and easy to maintain.
Heres what youll spend most of your time on:
- Build and maintain reliable data pipelines (batch and streaming) using PySpark SQL and AWS
- Help develop and scale our company-wide Data Lake on AWS and Databricks (operating at petabyte scale)
- Work with data from diverse sources: APIs file systems databases event streams
- Contribute to internal tooling (e.g. schema registries) to improve workflows
- Write clean tested code and participate in code reviews
- Collaborate closely with other engineers analysts and product teams to deliver data solutions
- Learn and experiment with new tools and best practices in modern data engineering
What Youll Bring to Us
Must-Have Skills
- Python clean code testing and ability to read existing codebases
- Apache Spark development and basic performance tuning
- SQL good understanding and hands-on experience
- Git solid version control habits
- Strong English comfortable working and communicating in an international team
- Distributed systems mindset solid understanding of fault tolerance data partitioning shuffling and parallel processing
Nice-to-Have Skills
- Delta Lake Databricks
- Apache Airflow or similar orchestration tools
- Amazon S3 AWS experience overall
- Streaming & messaging technologies Kafka Kinesis RabbitMQ
- Python libraries for RESTful APIs
- Data modeling
- PostgreSQL ElasticSearch
- Familiarity with JVM languages (e.g. Java Scala)
Beyond the Tech
Besides strong technical skills and clear communication we value the ability to explain technical concepts clearly and contribute with your own ideas. We also appreciate a broad understanding of the modern data landscape and awareness of industry best practices.
Tech Stack Snapshot
- Languages & Tools: Python with PySpark SQL Git
- Data & Storage: AWS S3 Databricks Delta Lake PostgreSQL ElasticSearch
- Streaming: Kafka Kinesis RabbitMQ
- Workflow & Orchestration: Apache Airflow
- Infrastructure: AWS (core services) Docker
What We Offer
- International fast paced and rapidly growing environment
- Opportunity for professional growth and development
- Possibility to learn new and cutting edge technologies in an environment that encourages new ideas
- Work in an international environment in our new modern offices in Karln
- Unlimited PTO
- Multisport card
- Home office working
- Theres more as well! Speak with us to find out all the details!
At Emplifi we build tools that help brands better understand and serve their customers. Our Data Engineering team makes that possible by ensuring clean reliable and timely data for all teams across the company.
We value collaboration technical quality and continuous learning and were excited to meet people who share those values.
At Emplifi we are committed to creating a workplace where everyone is valued respected and empowered to bring their whole selves to work. We welcome applications from individuals of all ages races religions genders sexual orientations gender identities and LGBTQ communities.
Emplifi offers a safe inclusive and supportive environment where every employee has the opportunity to thrive and is encouraged to be who they are.
Employment Type
Full Time
