Senior Data Engineer (Dataform, BigQuery)

Note-“Urgently Hiring – Immediate Joiners Preferred”Data EngineeringRole & ResponsibilitiesWe are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.Responsibilities:Design, build, and maintain scalable data pipelines and ETL/ELT workflowsWork with Dataform or dbt to implement transformation logic and data modelsDevelop and optimize data solutions on GCP (BigQuery, GCS) or AWS/AzureSupport data migration initiatives and data mesh architecture patternsCollaborate with analysts, scientists, and business stakeholders to deliver reliable data productsApply data governance and quality best practices across the data lifecycleTroubleshoot pipeline issues and drive proactive monitoring and resolutionIdeal CandidateStrong Data Engineer ProfileMandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.Preferred (Experience 1) – Exposure to data migration projects and/or data mesh architecture concepts.Preferred (Skill 1) – Experience with Spark/PySpark or large-scale data processing frameworks.Preferred (Company) – Experience working in product-based companies or data-driven environments.Preferred (Education) – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.