Senior Data Engineer

Design, develop, and maintain large‑scale Spark applications using Scala and PySpark
Build and operate streaming‑heavy data pipelines using Kafka and Spark Structured Streaming
Implement stateful streaming patterns including windowing, watermarking, late data handling, and checkpointing
Develop robust event replay and reprocessing workflows using Kafka offsets and partitions
Build ingestion and routing flows using Apache NiFi, including Kafka‑based ingestion patterns
Implement end‑to‑end ETL/ELT pipelines with strong emphasis on low latency, fault tolerance, and scalability
Optimize Spark jobs through partitioning strategies, memory tuning, shuffle optimization, and efficient data formats
Integrate Spark workloads with distributed object storage systems such as Apache Ozone and Ceph
Ensure data quality, consistency, and auditability through validation, reconciliation, and metadata capture
Collaborate with platform, infrastructure, and operations teams on production readiness and capacity planning
Support production systems, including monitoring, incident analysis, and root‑cause resolution
Contribute to reusable frameworks, coding standards, and engineering best practices
Participate in architecture reviews, code reviews, and technical documentation


Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Strong hands‑on experience with Apache Spark in production environments
Advanced proficiency in Scala and PySpark
Solid understanding of distributed systems and data processing at scale
Strong experience with Kafka‑based streaming architectures
Hands‑on experience with Spark Structured Streaming
Experience building batch and real‑time pipelines
Hands‑on experience with Apache NiFi for data ingestion and flow management
Strong SQL skills and experience working with structured and semi‑structured data
Experience working with object storage or distributed storage platforms
Proficiency with Linux, shell scripting, and Git‑based version control