Requirements:

Bachelor's degree in Computer Science, Information Systems, or related field.
3+ years of experience in data engineering or data operations roles.
Hands-on experience with GCP data services (BigQuery, Dataflow, Pub/Sub, Composer, etc.).
Strong experience managing and optimizing IBM Db2 databases.
Proficiency in SQL (advanced query tuning and performance analysis).
Experience with Python or other scripting languages for automation.
Familiarity with ETL/ELT frameworks and data workflow orchestration tools (Airflow, Cloud Composer).
Strong understanding of data modeling, data warehousing, and performance optimization.
Knowledge of cloud networking, IAM, and security best practices.
Good analytical, troubleshooting, and communication skills.

Responsibilities:

Manage and maintain data infrastructure across GCP (BigQuery, Cloud Storage, Dataflow, Composer, Pub/Sub) and Db2 databases (on-prem or cloud).
Develop, deploy, and monitor ETL/ELT data pipelines using GCP tools or open-source frameworks (e.g., Apache Beam, Airflow, Dataform).
Implement data ingestion, transformation, and integration processes between Db2, GCP, and other enterprise systems.
Perform data quality checks, error handling, and pipeline optimization.
Administer and tune Db2 databases, including query optimization, backup/recovery, and replication.
Monitor and troubleshoot data jobs, ensuring SLAs and data freshness are met.
Automate routine operational tasks using scripting languages such as Python, Bash, or SQL.
Collaborate with DevOps and platform teams to implement CI/CD pipelines for data workloads.
Support data governance, compliance, and security policies within GCP and Db2 environments.
Create and maintain technical documentation, dashboards, and operational runbooks.