Cloud Data Engineer

We are looking for a Cloud Data Engineer to build and manage large-scale, cloud-native data pipelines and platforms. This role requires expertise in designing, optimizing, and maintaining data solutions on cloud environments while ensuring high availability, scalability, and security.

Responsibilities

Design, build, and maintain cloud-based data pipelines for batch and real-time processing.

Develop ETL/ELT workflows using tools like DBT, Apache Airflow, or AWS Glue.

Optimize data storage and retrieval across cloud platforms (AWS, Azure, GCP).

Implement data security, governance, and compliance best practices.

Collaborate with Data Scientists, Analysts, and Architects to deliver business insights.

Monitor and troubleshoot data pipelines to ensure reliability and scalability.

Work with cloud-native services (AWS Redshift, GCP BigQuery, Azure Synapse, Snowflake).

Required Skills & Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field.

10+ years of experience in Data Engineering, with at least 7 years in cloud data platforms.

Strong expertise in SQL and data modeling.

Hands-on experience with cloud-native services (AWS S3, Redshift, Glue, EMR; GCP BigQuery; Azure Data Factory).

Proficiency in Python/Scala/Java for data engineering.

Experience with streaming technologies (Kafka, Kinesis, Pub/Sub).

Knowledge of CI/CD for data pipelines and Infrastructure as Code (Terraform/CloudFormation).

Familiarity with Data Governance, Security, and Compliance frameworks