DayToDay Responsbilities:

• Work as part of a data engineering team migrating workloads from a legacy Hadoop on-prem to (GCP)
• Build and optimize Spark and BigQuery data pipelines in GCP DataProc clusters
• Design and implement scalable, high-quality data models and schemas that meet complex business requirements
• Develop automated checks to ensure data quality, consistency, and integrity across systems
• Participate in systems integration testing (SIT), user acceptance testing (UAT), and maintain strong documentation for knowledge sharing and platform continuity

Must Have:

• GCP / BigQuery experience – 1+ year
• Spark, Scala or Python – 3+ years
• SQL – 3+ years (strong hands-on)
• Strong data modeling, pipeline development, and data quality experience
• Clear communication and ability to work with global teams

NiceToHave:

• GCP Certification
• Experience building semantic layers in LookML (Looker)