Senior Data Engineer

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, MIS, or a related field
• 5+ years of professional experience as a Data Engineer in high-volume, data-intensive environments
• Strong hands-on experience with Apache Spark (PySpark and/or Scala) and distributed data processing
• Strong proficiency in SQL, including writing and optimizing complex queries on large datasets
• Experience with object storage systems (S3 or S3-compatible) and modern table formats (Iceberg, Delta Lake, or Hudi)
• Proven experience designing, implementing, and maintaining scalable data pipelines (ETL/ELT)
• Experience with workflow/orchestration tools such as Apache Airflow (or similar)
• Familiarity with real-time data processing and streaming architectures (e.g. Kafka, Spark Structured Streaming, Flink)
• Solid understanding of database fundamentals, data warehousing concepts, and modern data platform patterns (e.g. medallion architecture / lakehouse)
• Strong communication skills and the ability to collaborate with cross-functional and client-facing teams
• Ability to work independently as a consultant, manage priorities, and drive tasks to completion with minimal supervision