The Senior Data Engineer will design, build, and optimize large-scale data infrastructure, ensuring efficient data collection, processing, and availability to support advanced analytics and data-driven decision-making.
Role description:
- Design ETL/ELT pipelines for network telemetry data
- Interface with on-premises data collection systems
- Implement Iceberg table structures, also for time-series data
• Optimize data processing for analytics
• Manage data quality and lineage
• Implement pipeline observability
- Implement modern data protection strategies
Qualifications:
- 5+ years experience with AWS Glue, S3, Athena, IAM, Lakeformation, Lambda, S3 Tables
- Apache Iceberg and lakehouse architectures
- Java (Python, Scala) for data processing
- Familiarity with data formats (JSON, Avro, Parquet)
• Time-series database queires
- Data processing (Spark, DuckDB, Flink, AirFlow, Prefect)
• Graph Theory
• Excellent SQL Knowledge
• English: B1
Nice to have:
• AWS Certifications
Originally posted on Himalayas