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AWS Senior Data Engineer

iSpace Inc
Torrance, CA, United States
17 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Airflow Amazon S3 Apache HTTP Server Databases Continuous Integration Information Engineering Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Operational Databases Performance Tuning Apache Spark
+4 more
Informatica Cloud Data Lakes Pyspark Virtual Agents

Requirements

  • 5+ years of Data Engineering, ETL, database, and data warehousing experience
  • Strong hands-on experience with AWS Glue, EMR, S3, Redshift, RDS, Athena, and Airflow/MWAA
  • Strong PySpark, Apache Spark, and Python experience
  • Experience with Apache Iceberg and data lake/lakehouse architectures
  • 2+ years of CI/CD experience
  • Experience designing, monitoring, troubleshooting, and supporting production data pipelines
  • Strong knowledge of data quality, performance tuning, error handling, and scalability
  • Experience with Redshift query/performance optimization
  • IDMC (Informatica Cloud) is a plus
  • Amazon Kiro / Agentic AI experience is a plus

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:43 min

AWS infrastructure stack and data flow pipeline overview

Artem Volk Artem Volk +1 · World Congress 2024

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

WeAreDevelopers LIVE - CSS is DOOMed thumbnail
59:11
LIVE • 5 months ago

WeAreDevelopers LIVE - CSS is DOOMed

Chris Heilmann, Daniel Cranney, Justin Halsall, Christian Schaefer

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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