Data Engineer - Google Cloud Services

About the Role :We are looking for a Data Engineer with 3 - 7 years of experience to design and build scalable, production-grade data solutions on GCP. The ideal candidate should have strong expertise in BigQuery, SQL, Dataform/dbt, Cloud Composer/Airflow, Dataflow/Apache Beam, and Spark, along with experience in modern data architecture, data quality, and cloud optimization.Key Responsibilities :- Design and implement scalable batch, incremental, and streaming data pipelines on GCP.- Develop and optimize complex data transformations using BigQuery, SQL, and Dataform/dbt.- Build reusable, metadata-driven, and configuration-driven data engineering frameworks.- Design orchestration workflows using Cloud Composer/Apache Airflow, including dependencies, retries, scheduling, and recovery mechanisms.- Develop distributed and streaming data processing solutions using Dataflow/Apache Beam and Dataproc/Spark.- Define and implement standards for data modelling, schema design, schema evolution, and data contracts.- Work with modern analytical storage technologies, including Apache Iceberg.- Establish frameworks for data quality, reconciliation, metadata, lineage, and observability.- Optimize large-scale data workloads for performance, scalability, latency, and GCP cost efficiency.- Define and implement engineering standards for testing, version control, CI/CD, and production readiness.- Conduct technical design and code reviews and provide guidance on complex implementation decisions.- Identify technical debt and drive improvements to shared data platform capabilities.- Collaborate with Data Engineering, Platform Engineering, DevOps, Architecture, Governance, and Product teams.- Own solutions from technical design through production deployment and operational stability.Required Skills :- 3 - 7 years of experience in Data Engineering or related roles.- Strong hands-on experience with GCP data services.- Strong expertise in BigQuery and advanced SQL.- Experience with Dataform or dbt.- Hands-on experience with Cloud Composer/Apache Airflow.- Experience with Dataflow/Apache Beam and/or Dataproc/Spark.- Strong understanding of data modelling, schema evolution, data quality, and data pipelines.- Experience with batch and streaming data processing.- Understanding of CI/CD, testing, version control, monitoring, and production support.- Exposure to Apache Iceberg and modern data lakehouse architectures is preferred.- Strong problem-solving, technical design, and communication skills. (ref:hirist.tech)