Analytics Engineer (middle)

inDrive
Cyprus
Workplace: HybridFull timeEUR 49,100+ annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Ownership","Collaboration","Proactive problem-solving"]

Build and maintain end-to-end data pipelines: design processes to capture, enrich, process, store, and validate data for integrity and accessibility. Create APIs for high-load data access and develop automation for data validation and alerting. Support big-data storage and processing infrastructure using Kubernetes and Terraform, and contribute to system design alongside the Data Engineering team using Python, PySpark, Airflow, SQL, and Spark/Flink.

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FursaFursa
inDrive
inDrive
1 day ago

Analytics Engineer (middle)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain end-to-end data pipelines: design processes to capture, enrich, process, store, and validate data for integrity and accessibility. Create APIs for high-load data access and develop automation for data validation and alerting. Support big-data storage and processing infrastructure using Kubernetes and Terraform, and contribute to system design alongside the Data Engineering team using Python, PySpark, Airflow, SQL, and Spark/Flink.
Location: Cyprus
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Create a unified system for processing, storing, and validating data to ensure integrity and accessibility.
  • •Design and build data processing/enrichment pipelines across the stages from data capture to consumer presentation.
  • •Develop and maintain big-data storage and processing infrastructure using Kubernetes and Terraform.
  • •Create and optimize REST and gRPC APIs for high-load data access services.
  • •Write integration and unit tests and build automation for data validation and alerting.

Pay and Benefits

Salary: EUR 49,100 annually
Perks:Learning Budget

Key Requirements

  • •Advanced proficiency in Python 3.7+ with experience building ETL processes using PySpark.
  • •Experience developing data flows using Airflow 2.
  • •High expertise in SQL, including complex queries and optimization.
  • •Extensive knowledge of Kubernetes (K8S) for data processing and storage infrastructure.
  • •Strong understanding of data processing algorithms and principles, with experience in Spark/Flink.
Skills:OwnershipCollaborationProactive problem-solving
Tech Stack:PythonPySparkAirflowSQLKubernetesK8STerraformRESTGRPCSparkFlink

Company Brief

inDrive
A ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time. It also offers intercity travel, courier, and delivery services in multiple countries.
Industry: Mobility Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2013
WebsiteLinkedIn