Data Engineer- Offshore in , United States

The Senior Data Engineer / Streaming Data Engineer will design, build, and support enterprise-scale streaming and big data pipelines across AWS, Spark, Hadoop, Kafka, and cloud- ingestion platforms. This role is hands-on and production-focused, with responsibility for reliable real-time data movement, ingestion modernization, distributed systems engineering, and scalable data processing in a large enterprise environment.

• Hands-on streaming and real-time data engineering using Kafka, Spark, AWS Kinesis, and cloud- data services.

• Modernization opportunity focused on moving legacy ingestion patterns to scalable AWS- services.

• Production engineering role requiring strong troubleshooting, operational ownership, and distributed systems depth.

• Enterprise-scale environment with complex data warehousing, big data, and cross-platform integration needs.

• 10+ years of experience in data engineering, software engineering, or related fields.

• Strong expertise with AWS cloud platform services and cloud- data engineering patterns.

• Hands-on experience with Apache Spark using Scala and PySpark for large-scale data processing.

• Deep working knowledge of the Hadoop ecosystem and distributed data processing architectures.

• Strong experience with Kafka and streaming technologies, including real-time data pipeline design and support.

• Hands-on experience with data ingestion platforms such as Flume, AWS Kinesis, Kinesis Firehose, or similar tooling.

• Strong programming experience in Python, Scala, and Java.

• Deep understanding of enterprise data warehousing, big data architectures, distributed systems, and large-scale enterprise operating environments.