Data Engineer $$$

Profisea is an Israeli boutique DevOps and Cloud company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective.     

We are looking for a Data Engineer with 3+ years of experience building and maintaining scalable data platforms in cloud environments. The ideal candidate will design, implement, and optimize data pipelines that support analytics and data-driven applications across AWS and GCP ecosystems.
Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build and manage data processing solutions using AWS Athena, AWS Glue, Glue Data Catalog, EMR, and S3.
• Implement data ingestion and replication pipelines using AWS DMS and other integration tools.
• Develop and orchestrate workflows using Apache Airflow and GCP Cloud Composer.
• Manage and optimize analytical workloads in Google BigQuery.
• Perform database migrations using AWS DMS and GCP Database Migration Service.
• Work with relational and NoSQL databases including PostgreSQL, MongoDB, Amazon RDS, DocumentDB, OpenSearch/Elasticsearch, and CloudSQL.
• Ensure data quality, reliability, and performance across data platforms.
• Collaborate with data analysts, data scientists, and software engineers to enable efficient data access and analytics.

Requirements

• 3+ years of experience in Data Engineering or related roles.
• Hands-on experience with AWS data services including Athena, Glue, Glue Data Catalog, EMR, DMS, and S3.
• Experience working with GCP data platforms, especially BigQuery and Cloud Composer.
• Experience with database migration tools such as AWS DMS or GCP Database Migration Service.
• Strong knowledge of SQL and data modeling.
• Experience working with PostgreSQL, MongoDB, and search platforms such as OpenSearch or Elasticsearch.
• Experience managing relational databases like RDS and CloudSQL.
• Familiarity with workflow orchestration tools such as Airflow.
• Understanding of data warehousing, data lakes, and distributed data processing concepts.

Nice to Have

• Experience with large-scale data lake architectures.
• Experience optimizing BigQuery or Athena query performance and cost.
• Knowledge of infrastructure-as-code and CI/CD for data platforms.
• Experience working in multi-cloud environments (AWS + GCP).

What we Offer: 

• Competitive salary   
• Remote work 
• Flexible schedule 
• Career growth 
• Sport compensations 
• Professional working environment, where you’d be an essential member of our company 
• Corporate culture, mutual support.