Senior Engineer - Hyperscale Analytics

Senior Engineer role to design and scale next-generation data processing and analytics platforms for OLTP, OLAP, and large-scale distributed systems. Responsibilities include building and optimizing pipelines handling billions of records daily, ensuring low-latency queries, high-throughput ingestion, and reliability across large compute clusters. Collaborate with data scientists and ML engineers to build unified, secure, and cost-efficient data platforms.

6+ years software engineering experience with data infrastructure, distributed systems, or large-scale analytics. Deep experience with Spark, Flink, or similar. Strong background in cloud-scale data architecture (AWS, Azure, GCP). Proficiency in Python, Java, Scala, or Go. Experience with Snowflake, Databricks, BigQuery, Redshift. Solid understanding of data modeling, ETL/ELT, pipeline orchestration (Airflow, dbt). Track record of designing for scale, reliability, and cost efficiency.