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Senior Data Engineer, Data Platform

Almaty, Kazakhstan
Python SQL Spark BigQuery GCS S3 Kafka Google Pub/Sub Airflow Kubernetes Terraform GitHub Jira gRPC API OOP PySpark Flink
Description

Senior Data Engineer (Data Usage)

Department: Data Platform

Employment Type: Full Time

Location: Almaty, Almaty Special District, Kazakhstan, Hybrid

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.

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

Key Responsibilities

  • Foster a culture of working with data across the organization, ensuring data-driven decision-making
  • Create and maintain a unified system for processing, storing, and validating data, ensuring data integrity and accessibility
  • Design and build processes for processing and enriching data, participating in all stages of the data pipeline from data capture to consumer presentation
  • Develop and maintain infrastructure for big data storage and processing using tools like Kubernetes (K8S) and Terraform
  • Create and optimize APIs (REST, gRPC) for high-load data access services, enabling efficient data retrieval
  • Write integration and unit tests, develop automation tools for data validation and alerting
  • Сontribute to system design and architecture with the development team

Skills, Knowledge and Expertise

  • Advanced proficiency in Python 3.7+ with strong experience in developing ETL processes using PySpark
  • Proven experience in developing data flows using Airflow2
  • High level of expertise in SQL, including complex queries and optimization
  • Extensive knowledge and industrial experience with Kubernetes (K8S)
  • Strong understanding of data processing algorithms and principles, with experience in Spark/Flink
  • Solid understanding of general programming concepts, including design patterns, OOP, modularity, and pure architecture
  • Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team

Conditions

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

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