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Senior Data Engineer

1 month, 2 weeks ago
Ukraine
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS CI/CD ClickHouse Databricks Docker FastAPI Flask GCP GitHub Actions Grafana Jenkins OpenSearch PostgreSQL Python REST API Snowflake SQL
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Simulmedia

Simulmedia

Simulmedia is a pioneer in cross-channel TV advertising, offering advertisers the reach of linear TV combined with digital targeting. Their VAMOS platform enables intelligent audience optimization and direct sales attribution, revolutionizing TV advert...

Media
51-250
Founded 2008
$87M raised
View All Jobs 3

Description

  • Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets from external providers and internal systems.
  • Model complex data structures, including dimensional, reference, and temporal models, and evolve them safely as upstream schemas change.
  • Develop and operate workloads on Databricks/Spark/Delta and Redshift, including migrating pipelines to the lakehouse platform.
  • Orchestrate pipelines in Airflow, including scheduling, dependencies, retries, backfills, and alerting.
  • Design parity checks and reconciliation queries, run historical backfills, and investigate data discrepancies at the row level.
  • Build and maintain Python services and REST APIs that serve data to internal products.
  • Optimize performance and cost through query tuning, table design, workload management, and compute right-sizing.
  • Monitor production pipelines, participate in incident triage and root-cause analysis, and harden systems against repeat failures.
  • Collaborate with product managers, data scientists, and other stakeholders to deliver roadmap items.
  • Work in an Agile team and experiment with new technologies to improve software and data workflows.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
  • 7+ years of work experience as a data engineer.
  • Proficiency in Python as the primary development language in recent years.
  • Expert-level SQL for complex analytical queries, performance tuning, and debugging result discrepancies.
  • Hands-on experience with a distributed data processing platform such as Spark/Databricks, EMR, Snowflake, or BigQuery.
  • Experience with a columnar data warehouse such as Redshift, Snowflake, BigQuery, or ClickHouse.
  • Ability to design complex data models, including normalized, dimensional, and temporal models.
  • Experience with workflow orchestration tools such as Airflow, including DAGs, dependencies, and backfills.
  • Experience integrating third-party data feeds, including schema drift, late deliveries, missing data, and vendor data-quality defects.
  • Experience building REST services in Python using FastAPI, Flask, or similar frameworks.
  • Working knowledge of AWS services such as S3, IAM, and ECS, plus Docker.
  • Good knowledge of engineering best practices, including unit testing, integration testing, code review, and CI/CD.
  • Must be able to communicate with U.S.-based teams and work 11:00 AM — 8:00 PM EEST.
  • Experience with Delta Lake or medallion lakehouse architectures is a plus.
  • Experience migrating legacy pipelines between platforms with strict parity requirements is a plus.
  • Experience with advertising, media, or measurement industry data is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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