Jobs at ARTECH 2000 Limited

Job Summary

• We are seeking a Google Cloud Data Engineer to design, develop, and maintain scalable data platforms on Google Cloud Platform (GCP). You will build data pipelines, data warehouses, and analytics solutions while ensuring data quality, security, and performance.

Key Responsibilities

• Design and implement batch and streaming data pipelines.
• Develop ETL/ELT processes using Google Cloud services.
• Build and optimize BigQuery data warehouses.
• Ingest data from APIs, databases, and third-party systems.
• Develop scalable solutions using Python and SQL.
• Implement data governance and security policies.
• Monitor and troubleshoot data pipelines.
• Collaborate with data scientists, analysts, and software engineers.
• Optimize cloud costs and data processing performance.
• Automate deployments using Infrastructure as Code.

Required Technical SkillsGoogle Cloud

• BigQuery
• Cloud Storage
• Cloud SQL
• Pub/Sub
• Dataflow (Apache Beam)
• Dataproc (Apache Spark)
• Cloud Composer (Apache Airflow)
• Cloud Functions
• Cloud Run
• Vertex AI (desirable)
• IAM
• VPC Networking

Programming

• Python
• SQL (advanced)
• Bash (preferred)
• Java or Scala (optional)

Data Technologies

• Apache Spark
• Apache Beam
• Apache Kafka (nice to have)
• Airflow
• dbt (desirable)

Databases

• PostgreSQL
• MySQL
• SQL Server
• MongoDB
• Bigtable

DevOps

• Git
• Docker
• Kubernetes (GKE)
• Terraform
• CI/CD (GitHub Actions, Cloud Build)

Soft Skills

• Strong analytical thinking
• Excellent problem-solving skills
• Good communication for distributed teams
• Experience working in Agile/Scrum environments
• Ability to work independently in a remote setting

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Job Summary

• We are seeking an experienced Azure Data Engineer to design and implement modern cloud-based data solutions on Microsoft Azure. You will develop scalable data pipelines, data lakes, and analytics platforms to support business intelligence, reporting, and AI initiatives.

Key Responsibilities

• Design and build scalable data pipelines on Azure.
• Develop ETL/ELT solutions for structured and unstructured data.
• Build and maintain enterprise data lakes and data warehouses.
• Integrate data from ERP, CRM, APIs, and third-party systems.
• Optimize SQL queries and data models for analytics.
• Implement data governance, security, and compliance.
• Develop batch and real-time data processing solutions.
• Monitor data quality and pipeline performance.
• Collaborate with data scientists, analysts, and software engineers.
• Automate deployments using Infrastructure as Code (IaC).

Required Technical SkillsMicrosoft Azure

• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure SQL Database
• Azure Blob Storage
• Azure Event Hubs
• Azure Stream Analytics
• Azure Databricks
• Azure Functions
• Azure Logic Apps
• Azure Key Vault
• Microsoft Fabric (increasingly requested)
• Azure Monitor

Programming

• Python
• SQL (Advanced)
• PySpark
• Scala (optional)
• PowerShell (preferred)

Big Data Technologies

• Apache Spark
• Delta Lake
• Databricks
• Kafka (nice to have)

Databases

• SQL Server
• Azure SQL
• PostgreSQL
• Cosmos DB
• Snowflake (often requested)
• Oracle (optional)

DevOps

• Git
• Azure DevOps
• GitHub Actions
• Terraform
• Docker
• Kubernetes (AKS)

BI & Analytics

• Power BI
• Microsoft Fabric
• SSIS (legacy environments)
• SSRS
• SSAS

Soft Skills

• Strong communication skills
• Analytical mindset
• Problem-solving ability
• Agile/Scrum experience
• Ability to work independently in a remote environment
• Stakeholder management