Data Engineering (India)

Data Engineering (India)

02 Aug
|
Datamatics Technologies
|
India

02 Aug

Datamatics Technologies

India

Job Description: Data Engineering & Warehousing Engineer
Job Title: Data Engineering & Warehousing Engineer
Experience: 3–11 Years
Location: Riyadh - Onsite
Employment Type: Full-Time
Job Overview
We are seeking a highly skilled Data Engineering & Warehousing Engineer with 3–11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions.
Key Responsibilities
Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data.
Build and maintain enterprise data warehouses, data lakes, and up-to-date data platforms.
Develop real-time and batch data processing solutions.
Integrate data from multiple internal and external sources while ensuring data quality and governance.
Collaborate with Data Scientists, BI Developers,



and business stakeholders to support analytical requirements.
Optimize data storage, query performance, and pipeline reliability.
Implement data security, monitoring, and governance best practices.
Troubleshoot and resolve data pipeline and platform issues.
Participate in architecture discussions and contribute to data platform modernization initiatives.
Required Technical Skills
Cloud Data Platforms
Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub.
Experience with Azure Synapse and Azure Data Factory.
Experience with Amazon Redshift and AWS Glue.
Data Processing & Streaming
Strong experience with Apache Spark and Apache Kafka.
Experience building batch and real-time data processing pipelines.
Data Transformation
Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration.
Experience implementing ETL/ELT best practices and reusable da

📌 Data Engineering (India)
🏢 Datamatics Technologies
📍 India

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