IT Associates | Data Engineer

3 days ago

dallas, United States IT Associates Full time

Data Engineer

  • Location: Dallas, TX
  • Position is On-site
  • Client : Mid sized Bank
  • Contract : 12 + months
  • Open on c2c or w2


The 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 concepts
  • Must 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 SQL
  • Must have solid programmatic experience of SQL, Python, Apache Spark


Your 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 SQL
  • Experience 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 GCP
  • Experience 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 experience
  • Any cloud certification (Preference to GCP Certifications)
  • Experience working with Financial and Banking Industry


Responsibilities:

  • 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 work
  • You 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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