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

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).

• Solid understanding of data warehousing, data lakes, and data modeling concepts (star schema, snowflake schema, etc.).

• Experience with CI/CD pipelines and DevOps practices (Git, Terraform, Jenkins, Azure DevOps, or similar).

• AWS Certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified)

Preferred Qualifications (Nice to Have):

• Solutions Architect - Associate/Professional).

• Experience with other streaming technologies (e.g., Flink).

• Knowledge of containerization technologies (Docker, Kubernetes).

• Familiarity with data mesh or data fabric concepts.

• Experience with data visualization tools (e.g., Tableau, Power BI, and QuickSight).

• Understanding of MLOps principles and tools.

• The candidate must have a working laptop

Originally posted on Himalayas