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.