
About the Role:
We are seeking a skilled Data Engineer to join our growing AdTech team. In this role, you will design, build, and maintain high-performance ETL pipelines and large-scale data processing systems. You will work with massive datasets and distributed frameworks to power Adsremedy’s data-driven advertising solutions across Programmatic, In-App, CTV, and DOOH platforms.
What You’ll Do:
- Design, develop, and maintain scalable ETL pipelines on self-managed infrastructure
- Process and optimize large-scale datasets (terabytes of data) with high reliability and performance
- Build robust data processing workflows using Apache Spark (preferred) and/or Apache Flink
- Integrate, clean, and transform data from multiple internal and external sources
- Partner closely with data scientists, analysts, and business stakeholders to enable actionable insights
- Monitor, troubleshoot, and optimize data pipelines for operational excellence
- Ensure data quality, consistency, and performance across all data workflows
- Participate in code reviews and uphold best practices in data engineering
- Collaborate with QA teams to deliver production-ready, reliable systems
- Mentor junior engineers and promote knowledge sharing within the team
- Stay current with emerging data engineering tools, frameworks, and industry trends
What You’ll Need:
- 2+ years of experience building ETL pipelines using Apache Spark and/or Apache Flink
- Hands-on experience with big data caching solutions such as ScyllaDB, Aerospike, or similar
- Strong understanding of data lake architectures and tools like Delta Lake
- Proven experience handling terabytes of data in distributed environments
- Proficiency in Scala, Python, or Java
- Experience working with cloud data platforms (AWS S3, Azure Data Lake, Google BigQuery)
- Strong knowledge of SQL, data modeling, and data warehousing concepts
- Familiarity with Git and CI/CD workflows
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
Nice to Have
- Experience with Apache Kafka for real-time data streaming
- Familiarity with Apache Airflow or similar orchestration tools

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