Senior Data Engineer

21 hours ago

Little Rock, United States IT Associates Full time

Data Engineer (GCP / Google BigQuery / SQL )


  • Location: Dallas, TX or Little Rock, AR
  • Position is On-site 4-5 days/week.
  • Client : Financial
  • Contract : 12 + months
  • Open on c2c or w2
  • Strong SQL Query writing skills - Required
  • Experience leading Data Migration projects to GCP - a MUST
  • Relocation is OK
  • Open to all Visa types - W2 or c2c.


The client is seeking a mid to Sr. level 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 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. This position will also be responsible for driving innovation and staying up-to-date with the latest GCP technologies and trends to provide industry-leading solutions.


Responsibilities:

  1. 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.
  2. Contribute to this is unique opportunity as the program is set-up to completely rethink reporting and analytics with Cloud technology.
  3. Collaborate with different business groups, users to understand their business requirements and design and deliver GCP architecture, Data Engineering scope of work
  4. You will work on a large-scale data transformation program with the goal to establish a scalable, efficient and future-proof data & analytics platform.
  5. Develop and implement cloud strategies, best practices, and standards to ensure efficient and effective cloud utilization.
  6. Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP.
  7. Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP.
  8. Contribute to multiyear data analytics modernization roadmap for the bank.
  9. Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.


Qualifications:

What will help you succeed:

  1. Bachelors University degree computer science/IT
  2. Master’s in data Analytics/Information Technology/Management Information System (preferred)
  3. At least 3-5 years of professional experience in building data engineering capabilities for various analytics portfolios with at least 2 years in GCP/Cloud based platform.
  4. Strong understanding of data fundamentals, knowledge of data engineering and familiarity with core cloud concepts
  5. 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
  6. Must have programmatic experience of SQL, Python, Apache Spark


Your expertise in one or more of the following areas is highly valued:

  1. Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL
  2. Experience with legacy data warehouses (on SQL Server or any Relational Datawarehouse platform)
  3. Experience with DBT (Data Build Tool) or any ETL tool , Terraform/Terragrunt, Git (CI/CD)
  4. Experience with a testing framework.
  5. Experience with Business Intelligence tools like PowerBI and/or Looker.

What sets you apart:

  1. Experience in complex migrations from legacy data warehousing solutions or on-prem Data base or Data Lakes to GCP. Client has on-prem Enterprise level SQL Server DB.
  2. Experience with building generic, re-usable capabilities and understanding of data governance and quality frameworks.
  3. Experience in building real-time ingestion and processing frameworks on GCP.
  4. Adaptability to learn new technologies and products as the job demands.
  5. Multi-cloud & hybrid cloud experience
  6. Any cloud certification (Preference to GCP Certifications)
  7. Experience working with Financial and Banking Industry

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