Google Cloud Platform Data Engineer

The following requirement is open with our client. 

Client                                     : TCS

Title                                       : Google Cloud Platform Data Engineer

Location                               : Memphis, TN or Dallas, TX (Onsite)

Duration                              : 12 Months

Rate                                       : $70/hr on C2C

Relevant Experience (in Yrs.) :

Detailed Job Description:

We are seeking a highly experienced Google Cloud Platform Data Engineer.

Responsibilities:

Data Migration & Modernization:

•         Assess existing data platforms and define migration strategies to Google Cloud Platform.

•         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 Google Cloud Platform 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 Google Cloud Platform-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.

•         Google Cloud Platform 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.

Key Skills:

Google Cloud Platform 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)

Thanks and Regards, 

Goutham Eluri

Technical Recruiter 

ASCII Group LLC. 

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI  48335 

Office:

Email:  Website: