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Luxoft_Senior Data Engineer / Developer (AWS)

Roles & Responsibilities

  • 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)

Requirements:

  • Design ETL/ELT pipelines for network telemetry data
  • Interface with on-premises data collection systems
  • Implement Iceberg table structures, also for time-series data
  • Implement pipeline observability

Job description

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

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