Senior Data Engineer (AWS & Confluent Data/AI Projects) | Remote - PH

Remote•Remote

Full-timeRemoteremotejobsorg

Data Scienceremotejobs.org

About this role

About the job: Senior Data Engineer (AWS & Confluent Data/AI Projects) | Remote Work Set-up: Remote Schedule: 10am-6pm SGT Responsibilities:

Architect and Design Data Solutions: Lead the design and architecture of scalable, secure, and efficient data pipelines for both batch and real-time data processing on AWS. This includes data ingestion, transformation, storage, and consumption layers.
Confluent Kafka Expertise: Design, implement, and optimize highly performant and reliable data streaming solutions using Confluent Platform (Kafka, ksqlDB, Kafka Connect, Schema Registry). Ensure efficient data flow for real-time analytics and AI applications.
AWS Cloud Native Development: Develop and deploy data solutions leveraging a wide range of AWS services, including but not limited to:
Data Storage: S3 (Data Lake), RDS, DynamoDB, Redshift, Lake Formation.
Data Processing: Glue, EMR (Spark), Lambda, Kinesis, MSK (for Kafka integration).
Orchestration: AWS Step Functions, Airflow (on EC2 or MWAA)
Analytics & ML: Athena, QuickSight, SageMaker (for MLOps integration). Required Skills and Qualifications:
Bachelor's or master's degree in computer science, software engineering, or a related quantitative field.
3 to 5 years of experience in data engineering, with a significant focus on cloud-based solutions.
Strong expertise in AWS data services (S3, Glue, EMR, Redshift, Kinesis, Lambda, etc.).
Extensive hands-on experience with Confluent Platform/Apache Kafka for building real-time data streaming applications.
Proficiency in programming languages such as Python, PySpark, Scala, or Java.
Expertise in SQL and experience with various database systems (relational and NoSQL).

Posting details

Remote

Yes

Employment type

Full-time

Workplace type

Remote

Source

remotejobsorg

First seen

10/4/2026, 2:10:27 PM

Last seen

10/4/2026, 2:10:27 PM