[Hiring] Data Engineering Manager @Naveera Technology LLC

Role Description

We are looking for an experienced Engineering Manager with strong hands-on expertise in AWS and GCP Data Engineering to lead a large-scale AWS-to-GCP data platform migration. The ideal candidate will have strong experience designing enterprise data platforms on AWS and migrating them to Google Cloud Platform (GCP). The role requires a combination of technical architecture, hands-on engineering, migration leadership, team management, and stakeholder management.

The candidate should have strong hands-on experience with AWS services such as S3, Glue, Redshift, Athena, Step Functions, and AWS DMS, along with strong GCP expertise across BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

The Engineering Manager will work closely with US-based stakeholders, architects, engineers, DevOps teams, Data Science, and BI teams to define the migration strategy and ensure successful execution.

Qualifications

• 15+ years of experience in Data Engineering, Data Architecture, or Cloud Engineering.
• 5+ years of hands-on GCP Data Engineering experience.
• 3+ years of proven experience working on AWS-to-GCP migration projects.
• Strong experience designing enterprise Data Lake / Lakehouse platforms.
• Experience migrating AWS data workloads to GCP.
• Strong knowledge of AWS and GCP service mapping and cloud migration patterns.
• Expert-level SQL and strong Python/PySpark skills.
• Strong data modeling and data warehousing experience.
• Experience with Terraform and CI/CD.
• Experience managing and mentoring data engineering teams.
• Strong communication skills with experience working with US-based stakeholders.

Requirements

• AWS – Strong Existing Platform Experience
• Amazon S3
• AWS Glue
• AWS Glue Data Quality
• Amazon Redshift / Redshift Serverless
• Amazon Athena
• AWS Step Functions
• AWS DMS
• AWS Lake Formation
• IAM
• GCP – Target Platform
• BigQuery
• Google Cloud Storage
• Pub/Sub
• Dataflow / Apache Beam
• Cloud Composer / Airflow
• Dataproc / Spark
• Cloud Monitoring
• Cloud Logging
• Dataplex / Data Catalog
• Data Engineering
• Advanced Python
• Expert-level SQL
• Strong PySpark / Apache Spark
• ETL/ELT
• CDC
• Batch and streaming data processing
• Event-driven architecture
• Data pipeline optimization

Benefits

• Lead large-scale AWS-to-GCP cloud transformation initiatives.
• Work on enterprise Data Lakehouse and analytics modernization projects.
• Flexible remote work environment.
• Exposure to global enterprise customers.
• Collaborative, innovation-driven engineering culture.
• Continuous learning and certification opportunities.