AWS Data engineer

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Location :

Experience Required :

Employment Type :

• Design, develop, and maintain scalable and robust data pipelines using AWS cloud-native tools.
• Build and manage ETL/ELT processes to ingest and transform structured and unstructured data.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable datasets.
• Implement best practices for data engineering, including data quality, governance, testing, and security.
• Monitor data workflows and troubleshoot issues across the pipeline lifecycle.
• Work on performance tuning, scalability, and cost optimization of data processes on AWS.
• Create and maintain technical documentation related to data pipelines and infrastructure.
• Contribute to continuous integration and deployment (CI/CD) automation for data Skills :
• 6 to 7 years of overall experience in data engineering.
• Strong expertise in AWS data services such as AWS Glue, Redshift, S3, Lambda, Step Functions, and Athena.
• Proficiency in Python or Scala for ETL development and data transformation.
• Solid experience with SQL for data manipulation and querying.
• Experience with data lake and data warehouse architecture.
• Good understanding of data modeling concepts and performance tuning.
• Hands-on experience with version control tools like Git and CI/CD pipelines.
• Familiarity with tools like Airflow, DBT, or similar workflow orchestration frameworks is a plus.
• Excellent problem-solving, analytical, and communication to Have :
• Experience with big data technologies like Spark, Kafka, or Hadoop.
• Exposure to DevOps practices and infrastructure-as-code tools like Terraform or CloudFormation.
• Knowledge of data security, GDPR, and compliance Qualification :
• Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.
  

Why Join Us?

• Work with a dynamic and collaborative team focused on cutting-edge data solutions.
• Opportunity to contribute to high-impact projects in a cloud-first environment.
• Flexible hybrid working model with a long-term career growth path.