Data Engineer with AWS and GCP -- MAZDC5983751

Job summary

Design, develop, and maintain scalable data solutions using AWS and GCP, including data ingestion, transformation, integration, and pipeline processes. Ensure data quality, reliability, performance, security, and governance while monitoring solutions and collaborating with technical and business teams.

Job details

Sales Representative -- Anindya Mazumdar Job Summary We are looking for an experienced Data Engineer to design, develop, and maintain scalable data solutions using cloud technologies. The ideal candidate should have strong hands-on experience with AWS and GCP and be comfortable working with data pipelines, cloud data platforms, and ETL processes. Key Responsibilities • Develop and maintain data solutions using AWS and GCP cloud services. • Build data ingestion, transformation, and integration processes. • Work with large datasets and ensure data quality, reliability, and performance. • Collaborate with data engineers, developers, analysts, and business teams. • Monitor and troubleshoot data pipelines and cloud-based data solutions. • Follow best practices for data security, governance, and cloud architecture. Required Skills • Strong experience in Data Engineering. • Hands-on experience with AWS and GCP – Mandatory. • Experience with ETL/ELT and data pipeline development. • Strong SQL skills and experience with relational/non-relational databases. • Experience with Python or another programming language. • Good understanding of cloud-based data architecture. • Strong problem-solving and communication skills.

What you’ll do

Design, develop, and maintain scalable data solutions using AWS and GCP, including data ingestion, transformation, integration, and pipeline processes. Ensure data quality, reliability, performance, security, and governance while monitoring solutions and collaborating with technical and business teams.

Requirements

Requires strong data engineering experience and hands-on experience with both AWS and GCP. Candidates should also have ETL/ELT and pipeline development experience, strong SQL and database skills, programming experience such as Python, and an understanding of cloud data architecture.

Listed skills

• SQL · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Engineering
• AWS
• GCP
• ETL/ELT
• Data Pipeline Development
• SQL
• Relational Databases
• Non-Relational Databases
• Python
• Cloud Data Architecture
• Data Ingestion
• Data Transformation
• Data Integration
• Data Quality
• Data Security
• Data Governance

Job areas

• Data & Analytics
• Technology
• Software
• Engineering

More jobs from Compunnel Inc.