Senior Data Engineer ( GCP / BigQuery / SQL)

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 working on 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 :

• 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 is 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.
• Develop and implement cloud strategies, best practices, and standards to ensure efficient and effective cloud utilization.
• Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP.
• Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP.
• Contribute to multiyear data analytics modernization roadmap for the bank.
• 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 :

• Bachelors University degree computer science / IT
• Master’s in data Analytics / Information Technology / Management Information System (preferred)
• 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.
• 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 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 DBT (Data Build Tool) or any ETL 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 base or Data Lakes to GCP. Client has on-prem Enterprise level SQL Server DB.
• 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
1 day ago