Back

Data Engineer (Data Ops)

Hybrid - Middle

Kazakhstan, Almaty

About the team We are currently actively building a Data Warehouse a key part of the product. We work with cutting edge technologies (GCP, AWS, Airflow, Kafka, K8s) and make infrastructure and architectural decisions based on data. We are building a large scale data infrastructure for analytics, machine learning, and realtime recommendations.

Apply for this position

Responsibilities

  • Develop the data driven culture within the company
  • Develop processes for data processing, storage, cleaning, and enrichment
  • Design and maintain data pipelines from collection to consumption
  • Develop APIs (REST, gRPC) for highload services
  • Create infrastructure for storing and processing large datasets on K8S, Terraform Automate testing, validation, and monitoring of data
  • Participate in system design and architectural decision making

Qualifications

  • Expert in Python 3.7+,
  • Experience with PySpark Deep knowledge of SQL
  • Extensive experience building ETLs with Air flow 2
  • Industrial experience with Kubernetes
  • Understanding of data processing principles and algorithms
  • Excellent knowledge of OOP, design patterns, clean architecture
  • Productivity, responsibility, and the ability to take ownership
  • Would be a plus: Experience with highload services DevOps skills and CI/CD automation experience If you’re interested in working with big data, complex challenges, and cutting edge technologies, we’d love to meet you!

Conditions & Benefits

  • Stable salary, official employment
  • Health insurance
  • Hybrid work mode and flexible schedule
  • Relocation package offered for candidates from other regions (only for Kazakhstan and Cyprus)
  • Access to professional counseling services including psychological, financial, and legal support
  • Discount club membership
  • Diverse internal training programs
  • Partially or fully paid additional training courses
  • All necessary work equipment

Our tech stack

  • Languages: Python, SQL
  • Frameworks: Spark, Apache Beam
  • Storage and analytics: BigQuery, GCS, S3, Trio, other GCP and AWS stack
  • components Integration: Apache Kafka, Google Pub/Sub, Debezium
  • ETL: Airflow 2
  • Infrastructure: Kubernetes, Terraform
  • Development: GitHub, GitHub Actions, Jira

Interested? Fill out the form below!

    Visit our Applicant Privacy Notice to learn how we collect, use, and share personal information.

    Thanks for applying and for your interest in inDrive!

    We appreciate the time and energy you put into this process. Our team will carefully review your application, and if you’re selected for the next round, we’ll be in touch.

    While we’d love to respond to everyone, the volume of applications we receive makes it challenging. But we truly appreciate you choosing to ignite your inner drive with us!

    In the meantime, stay connected! Follow us on LinkedIn, Instagram, and Facebook to keep up with the latest inDrive updates and stories.