Cloud Data Engineer

Role Overview

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data platforms that support both batch (ELT) and real-time data processing. The role ensures reliable and efficient extraction, transformation, and loading of data from a wide range of internal and external sources to support business intelligence and analytics.

What You Will Do

Design, develop, and maintain scalable batch and real-time data pipelines. Build ELT workflows to extract, transform, and load large datasets from multiple internal and external sources. Develop and maintain cloud-based data infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.

Why It Might Be a Fit

Minimum of 3 years’ professional experience in data engineering or a related technical role. Hands-on experience working with cloud data platforms, particularly Amazon Web Services. Strong experience working with large-scale production databases and SQL-based data warehouses such as Amazon Redshift, Snowflake, or Google BigQuery.

Requirements

• Minimum of 3 years’ professional experience in data engineering or a related technical role
• Hands-on experience working with cloud data platforms, particularly Amazon Web Services
• Strong experience working with large-scale production databases and SQL-based data warehouses such as Amazon Redshift, Snowflake, or Google BigQuery
• Proven experience developing ELT pipelines using dbt, Apache Airflow, and Python
• Familiarity with big data and streaming technologies such as Apache NiFi, Apache Kafka, and Apache Spark
• Experience with containerization and orchestration technologies including Docker and Kubernetes