Senior Data Engineer

Exadel Inc (Website)•Bulgaria, Georgia, Lithuania, Poland, Uzbekistan, GA

2d•Hybrid

About The Position

Join Exadel as a Senior Data Engineer and bring logic to life. Solve analytical challenges and build solutions that matter—with a sharp, collaborative team. About the Client Our client is a marketplace platform that connects people with local experiences, events, and travel options, helping them discover new and familiar activities that enrich everyday life. It also supports local businesses by strengthening customer relationships and contributing to vibrant communities. Despite operating at global scale, the culture remains fast‑moving, innovative, and impact‑driven — combining the resources of a large organization with the autonomy and ownership of a smaller one.

Requirements

Strong experience with cloud data warehousing technologies: Google BigQuery, GCP
Hands‑on expertise with data orchestration tools, especially Apache Airflow (Cloud Composer)
Solid background in working with relational and analytical databases: BigQuery, AlloyDB / PostgreSQL, Teradata (legacy)
Proven experience in data integration: SQL‑based ELT, SFTP, API integrations (NetSuite, PSPs)
Knowledge of data governance frameworks and tooling: OpenMetadata (lineage, catalog), IAM/RBAC
Strong understanding of CI/CD and DevOps practices using GitHub, Jenkins, Flyway, Terraform
Experience building and maintaining data quality frameworks, ideally metadata‑driven (BigQuery + Airflow)
English level Upper-Intermediate

Responsibilities

Develop and maintain data pipelines (Bronze Silver Gold) using SQL-based; ELT patterns
Implement data ingestion from multiple sources (SFTP, APIs, databases) into BigQuery (raw, append-only)
Build and optimize transformation logic for curated Mart (Silver) layer using dimensional modeling principles
Create fact and dimension tables, including SCD handling and surrogate key logic
Ensure data quality checks are implemented and integrated with pipeline execution (row counts, reconciliation, validations)
Support Airflow DAG development for orchestration, scheduling, and monitoring of pipelines
Enable reprocessing and idempotency, ensuring pipelines can be reliably rerun from Bronze
Collaborate on schema evolution and deployments using CI/CD (Git, Flyway, Jenkins)
Optimize BigQuery performance and cost (partitioning, clustering, query tuning)
Implement and maintain data integrations with downstream systems (e.g., ERP, reporting tools)
Contribute to metadata, lineage, and documentation in the data catalog
Support testing, reconciliation, and parallel run validation during migration from legacy systems
Troubleshoot pipeline failures and support monitoring and alerting processes