GCP Data Engineer

Sysmind LLC; Memphis (TN); Hybrid; USD 96,000 - 110,000; Full time

Job summary

Sysmind LLC is seeking a Data Engineer specializing in GCP data migration to design, develop, and execute large-scale migrations to Google Cloud Platform.

You will collaborate with architects, analysts, and cloud engineers to ensure secure, scalable data pipelines with governance and compliance across migrations.

Qualifications

• Experience with GCP data services and migration projects.
• Experience in enterprise-scale migration and modernization.
• Hands-on with BigQuery and Dataflow implementations.

Responsibilities

• Data Migration & Modernization: assess platforms and define migration strategies to GCP.
• Data Engineering & Pipeline Development: build ETL/ELT pipelines on GCP-native services.
• GCP Data Platform Implementation: build with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Dataplex and more.
• Data Quality & Governance: implement quality checks and governance practices.
• Automation & DevOps: CI/CD pipelines; IaC; monitoring and operations support.

Skills

BigQuery

Cloud Storage

Dataflow

Dataproc

Cloud Composer

Pub/Sub

Dataplex

BigLake

AlloyDB

Cloud SQL

Data Fusion

Datastream

Legacy to Cloud migrations

Data Warehouse migrations

Database migrations

ETL to ELT modernization

Cross-cloud migrations

Data validation and reconciliation

Data profiling and cleansing

Python

SQL

PySpark

Java

Scala

Shell Scripting

Oracle

SQL Server

PostgreSQL

MySQL

MongoDB

Cassandra

Teradata

Snowflake

Apache Spark

Hadoop Ecosystem

Kafka

Hive

Delta Lake

Git

GitHub

GitLab

Jenkins

Terraform

CI/CD Pipelines

Docker

Kubernetes

Tools

Git

GitHub

GitLab

Jenkins

Terraform

CI/CD Pipelines

Docker

Kubernetes

Job description

Job Description: 2 Candidate Submittal Slots, New High Level Policy

Bill Rate $70 - $80

MSP Owner: Rob Finton

Location: Preferred Memphis, TN or Dallas, TX if not any in US - Remote or Onsite/Hybrid

Duration: 6 months

Competencies: 6-8+ years experience

Digital : Google Data Engineering

Job Description: GCP Data Engineer

Data Engineer (GCP Data Migration) is responsible for designing, developing, and executing large-scale data migration and modernization initiatives on the Google Cloud Platform (GCP). The role focuses on migrating data from legacy databases, on-premises systems, and other cloud platforms to GCP services such as BigQuery, Cloud Storage, Dataproc, Dataflow, Dataplex, and Cloud SQL. The Data Engineer ensures secure, scalable, high-performance data pipelines while maintaining data quality, governance, and compliance standards.

The role collaborates closely with Solution Architects, Application Teams, Business Stakeholders, Data Analysts, and Cloud Engineers to enable successful cloud transformation programs.

Key Responsibilities

• Data Migration & Modernization:
  • Assess existing data platforms and define migration strategies to GCP.
  • Design and execute large-scale database and data warehouse migrations.
  • Develop source-to-target mappings, transformation rules, and migration plans.
  • Migrate structured, semi-structured, and unstructured data to GCP platforms.
  • Perform data validation, reconciliation, and quality assurance activities.
  • Support migration cutover planning, rollback procedures, and production deployments.
• Data Engineering & Pipeline Development:
  • Build scalable ETL/ELT pipelines using GCP-native services.
  • Design batch and real-time data processing solutions.
  • Develop automated ingestion frameworks from multiple source systems.
  • Optimize data pipelines for performance, scalability, and cost efficiency.
  • Implement reusable migration and transformation frameworks.
• GCP Data Platform Implementation:
  • Build and manage solutions using:
  • BigQuery
  • Cloud Storage
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Composer
  • Dataplex
  • Cloud SQL
  • AlloyDB
  • BigLake
• Support enterprise data lake, lakehouse, and warehouse implementations.
• Configure monitoring, logging, and performance optimization mechanisms.
• Data Quality & Governance:
  • Implement data quality checks and reconciliation frameworks.
  • Ensure adherence to data governance and security standards.
  • Manage metadata, lineage, and cataloging using Dataplex and Data Catalog.
  • Implement data encryption, masking, and access controls.
• Automation & DevOps:
  • Implement CI/CD pipelines for data workloads.
  • Automate deployment and infrastructure provisioning.
  • Support Infrastructure as Code (IaC) implementations.
  • Establish monitoring and operational support processes.
• Stakeholder Collaboration:
  • Participate in migration workshops and architecture discussions.
  • Estimate migration effort and identify risks and dependencies.
  • Provide technical guidance and best practices.
  • Support UAT, production migration, and hypercare activities.

Required Skills

• GCP Data Engineering Services:
  • BigQuery
  • Cloud Storage
  • Dataflow
  • Dataproc
  • Cloud Composer (Airflow)
  • Pub/Sub
  • Dataplex
  • BigLake
  • AlloyDB
  • Cloud SQL
  • Data Fusion
  • Datastream
• Data Migration Expertise:
  • Legacy to Cloud migrations
  • Data Warehouse migrations
  • Database migrations
  • ETL to ELT modernization
  • Cross-cloud migrations
  • Data validation and reconciliation
  • Data profiling and cleansing
• Programming & Development:
  • Python
  • SQL
  • PySpark
  • Java (preferred)
  • Scala (preferred)
  • Shell Scripting
• Database Technologies:
  • Oracle
  • SQL Server
  • PostgreSQL
  • MySQL
  • MongoDB
  • Cassandra
  • Teradata
  • Snowflake
• Big Data Technologies
  • Apache Spark
  • Hadoop Ecosystem
  • Kafka
  • Hive
  • Delta Lake
• DevOps & Automation:
  • Git
  • GitHub
  • GitLab
  • Jenkins
  • Terraform
  • CI/CD Pipelines
  • Docker
  • Kubernetes (preferred)

Required Qualifications

• working with GCP Data Services.
• Experience in enterprise-scale migration and modernization projects.
• Hands-on experience with BigQuery and Dataflow implementations.