Lead Big Data Engineer

About The Role In this role, you will contribute to building scalable and reliable data solutions on Google Cloud Platform, leveraging modern Big Data technologies and cloud-native services. You will work with batch and streaming data processing systems, helping organizations transform, manage, and unlock the value of their data. As part of a collaborative engineering team, you will participate in the full project lifecycle, from discovery and solution design to implementation and production deployment. Responsibilities Design, develop, and maintain scalable data pipelines for batch and streaming workloadsBuild and optimize data processing solutions using Python (must), SQL, Java, Apache Spark, and DatabricksCreate cloud-native data architectures leveraging GCP services including BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud StorageImplement data transformation, modeling, and analytics engineering practices using dbt and DataformCollaborate with business stakeholders, architects, and engineering teams to translate data requirements into effective technical solutionsSupport development of modern data platforms and analytics solutions on GCP with GCP native services and/or DatabricksContribute to technical design discussions, architecture decisions, and continuous improvement initiativesEnsure data quality, reliability and performance across data processing workflowsSupport end-to-end project delivery, including PoCs, MVPs, production deployments and platform enhancements Requirements 5+ years of professional experience in Big Data or Data EngineeringAdvanced expertise in Python and SQL (Java nice to have) for large-scale data processing and transformationHands-on experience developing data solutions on Google Cloud Platform (GCP)Experience with Apache Spark and data processing frameworks such as Cloud Dataflow or Apache BeamProven background building scalable solutions using Databricks and Lakehouse conceptsExperience with orchestration tools such as Apache Airflow or Cloud ComposerKnowledge of streaming technologies such as Apache Kafka or Google Cloud Pub/SubStrong knowledge of BigQuery and modern cloud data architecturesExperience with data transformation and modeling tools such as dbt and DataformStrong analytical thinking, troubleshooting capabilities, and problem-solving skillsEffective communication with both technical and non-technical stakeholdersUpper-intermediate or higher level of English SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.