Architect, build, and own real-time and batch data pipelines for attribution decisions and marketing insights
Deliver high-quality datasets for customer dashboards, fraud systems, and internal analytics
Optimize ingestion and aggregation performance using tools like Flink, Spark, Kafka, and Druid
Required Qualifications
2-4 years of software engineering experience, preferably in data engineering or large-scale backend systems
Proficiency in SQL and at least one backend language (Java or Python)
Understanding of distributed systems, data modeling, and real-time data processing
Hands-on experience with AWS cloud tools and big data platforms such as Kafka, Flink, and Spark
Solid grasp of data warehousing principles and familiarity with columnar storage formats (Parquet, Avro)
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