Design, develop, and maintain scalable ETL/ELT pipelines for high-volume data processing
Optimize and automate data ingestion, transformation, and storage workflows
Handle both structured and unstructured data sources, ensuring data quality and consistency
Develop and maintain data models, data warehouses, and databases
Collaborate with cross-functional teams to support and enable data-driven decision-making
Ensure data security, privacy, and compliance with industry and regulatory standards
Troubleshoot and resolve data-related issues promptly and efficiently
Monitor and enhance system performance, reliability, and scalability
Stay up-to-date with emerging data technologies and recommend improvements to data architecture and engineering practices

5+ years of experience in data engineering, ETL development, or a related field
Strong programming skills in Python
Proficiency in SQL and experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB, MongoDB)
Proven experience building data pipelines on Google Cloud Platform (GCP) using services like:
DataFlow, Cloud Batch, BigQuery, BigTable, Cloud Functions, Cloud Workflows, Cloud Composer
Solid understanding of data modeling, data warehousing, and data governance principles
Capability to mentor junior data engineers and assist with technical challenges
Familiarity with orchestration tools such as Apache Airflow
Experience with containerization and orchestration tools like Docker and Kubernetes
Proficiency with version control systems (e.g., Git) and CI/CD pipelines
Excellent problem-solving and communication skills
Ability to work effectively in a fast-paced, agile environment
Experience with Snowflake, big data technologies (e.g., Hadoop, Spark, Kafka), and AWS is a plus
Skilled at converting business requirements into technical documentation

Bachelor's degree in Computer Science, Information Systems, Information Technology, or a related field
Certified development training/program is a plus
5+ years of hands-on experience building data pipelines using Python and GCP

Senior Data Engineer(GCP, Python)