About the Role
We are seeking a skilled ETL Developer with strong experience in Google Cloud Platform (GCP) to design, develop, and maintain data integration pipelines that power analytics and business intelligence solutions. The ideal candidate will have hands-on experience with cloud-based ETL frameworks, data modeling, and modern data warehousing tools, ensuring high-quality, reliable, and scalable data solutions.

Key Responsibilities
● Design, develop, and maintain ETL pipelines for ingesting, transforming, and delivering structured and unstructured data.
● Build and optimize data workflows using Google Cloud services such as BigQuery, Dataflow, Dataproc, and Cloud Storage.
● Implement and maintain data quality, validation, and governance frameworks across multiple data sources.
● Collaborate with data engineers, analysts, and product teams to understand data requirements and ensure alignment with business goals.
● Monitor data pipelines for performance and reliability, troubleshooting issues proactively.
● Develop and maintain technical documentation for ETL processes, architecture, and design decisions.
● Work with DevOps teams to automate deployment and manage CI/CD pipelines for data workflows.

Required Qualifications
● 3–6 years of experience in ETL development, data engineering, or related fields.
● Strong proficiency with SQL and Python (or Java/Scala).
● Hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
● Experience with ETL/ELT tools such as Apache Beam, Airflow, DBT
● Knowledge of data modeling, data lake / warehouse design, and schema optimization.
● Understanding of API integrations, streaming data, and batch processing frameworks.
● Experience with Terraform or Infrastructure as Code in GCP.
● Exposure to machine learning data pipelines or analytics engineering.
● Certification in Google Cloud Data Engineer or equivalent is a plus.

Soft Skills
● Strong analytical and problem-solving abilities.
● Excellent communication and collaboration skills across cross-functional teams.
● Self-driven with the ability to work in fast-paced, agile environments.


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