Data Engineer ( GCP / Google BigQuery/ SQL )

Data EngineerLocation: Dallas, TXPosition is On-siteClient : Mid sized BankContract : 12 + monthsOpen on c2c or w2The client is seeking a Data Engineer, with experience in Google Big Query, GCP, ETL Pipeline, BI, Cloud Skills, Microsoft SQL with experience in both building and designing.Job Description -We are looking for a Sr Google Cloud Data engineer, who wants to collaborate in an agile team of peers developing cloud based analytics platform integrating data from broad amount of systems to enable next-gen analytical products.The Data Engineering Google Cloud Platform (GCP) Engineer is responsible to develop and deliver effective cloud solutions for different business units. This position requires in-depth knowledge and expertise in GCP services, architecture, and best practices. They will collaborate with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions.Qualifications:What will help you succeed:Bachelors University degree computer science/IT. Master’s in data Analytics/Information Technology/Management Information System (preferred)At least 5-10 years of professional experience in building data engineering capabilities for various analytics portfolios with at least 2-3 years in GCP/Cloud based platform.Strong understanding of data fundamentals, knowledge of data engineering and familiarity with core cloud conceptsMust have good implementation experience on various GCP’s Data Storage and Processing services such as Big Query, Dataflow, Bigtable, Data form, Data fusion, cloud spanner, Cloud SQLMust have solid programmatic experience of SQL, Python, Apache SparkYour expertise in one or more of the following areas is highly valued:Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQLExperience with legacy data warehouses (on SQL Server or any Relational Datawarehouse platform)Experience with our main tools DBT (Data Build Tool) , Terraform/Terragrunt, Git (CI/CD)Experience with a testing framework.Experience with Business Intelligence tools like PowerBI and/or Looker.What sets you apart:Experience in complex migrations from legacy data warehousing solutions or on-prem Data Lakes to GCPExperience with building generic, re-usable capabilities and understanding of data governance and quality frameworks.Experience in building real-time ingestion and processing frameworks on GCP.Adaptability to learn new technologies and products as the job demands.Multi-cloud & hybrid cloud experienceAny cloud certification (Preference to GCP Certifications)Experience working with Financial and Banking IndustryResponsibilities:You will directly work on the platform based on Google BigQuery and other GCP services to integrate new data sources and model the data up to the serving layer.Contribute to this unique opportunity as the program is set-up to completely rethink reporting and analytics with Cloud technology.Collaborate with different business groups, users to understand their business requirements and design and deliver GCP architecture, Data Engineering scope of workYou will work on a large-scale data transformation program with the goal to establish a scalable, efficient and future-proof data & analytics platform.Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP.Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.

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