Position : GCP / Python Data Engineer - Dallas, TX ( Onsite )
Shekhar K
Work Location: Dallas, TX ( Onsite )
Duration : Long Term
Note : Client is looking for Very strong experience in Python coding, SQL coding and GCP. Minm 5 to 7 years of experience is preferred.
Description :
GCP Data Engineer will create, deliver, and support custom data products, as well as enhance/expand team capabilities. They will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and analytics. Google Cloud Data Engineers will be responsible for designing the transformation and modernization on Google Cloud Platform using GCP Services
Responsibilities:
- Build data systems and pipelines on GCP Cloud using Data proc, Data Flow, Data Fusion, Big query and Pub/Sub
- Implement schedules/workflows and tasks for Cloud Composer/Apache Airflow.
- Create and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL
- Monitor and troubleshoot data pipelines and storage solutions using GCP's Stackdriver and Cloud Monitoring
- Develop efficient ETL/ELT pipelines and orchestration using Data Prep, Google Cloud Composer
- Develop and Maintain Data Ingestion and transformation process using Apache PySpark, Dataflow
- Automate data processing tasks using scripting languages such as Python or Bash
- Ensuring data security and compliance with industry standards by configuring IAM roles, service accounts, and access policies. Automating cloud deployments and infrastructure management using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.
- Participate in Code reviews, contribute to development best practices and usage of Developer Assist tools to create a robust fail-safe data pipelines
- Collaborate with Product Owners, Scrum Masters and Data Analyst to deliver the User Stories and Tasks and ensure deployment of pipelines
Experience required:
- 5+ years of application development experience required using one of the core cloud platforms viz. AWS, Azure & GCP
- Minimum 1+ years of GCP experience.
- Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Dataproc, Airflow / Cloud Composer.
- 2 + years coding skills in Java/Python/PySpark and strong proficiency in SQL.
- Work with data team to analyze data, build models and integrate massive datasets from multiple data sources for data modeling.
- Extracting, Loading, Transforming, cleaning, and validating data + Designing pipelines and architectures for data processing. Architecting and implementing next generation data and analytics platforms on GCP cloud.
- Experience in working with Agile and Lean methodologies.
- Experience working with either a Map Reduce or an MPP system on any size/scale.
- Experience working in CI/CD model to ensure automated orchestration of pipelines.
Below Skill Matrix to be filled by Candidate :
|
Mandatory Skills |
Years of Exp |
Year last used |
Rating out of 10 |
|
Cloud platforms viz. AWS, Azure & GCP |
|||
|
GCP experience |
|||
|
Big Data deployments |
|||
|
Coding skills in Java / Python / PySpark |
|
|
|
|
Agile and Lean methodologies |
|
|
|
|
Working in CI/CD model |
|
|
|
Share the Resumes & Below Details to my Official email id sek...@transreach.com only
- Legal Name (First/Last):
- Phone (Primary and secondary):
- Candidate Email:
- Current Location (City, State):
- Work Authorization / Visa Status :
- Interview Availability:
- LinkedIn URL:
- Education Details ( Bachelors / Masters , University Name , Location, Year of Pass out ) :
- Availability once Confirmed:
- Total years of Work Experience in USA :
- Over All Years of Work Experience :
- Open to Relocate ( Yes / No ) :
- Expected Hourly Bill Rate on C2C :
