Senior Data Engineer

2 weeks ago


Caloocan, Philippines TASQ Staffing Solutions Full time

Overview

Job Title: Senior Data Engineer (AWS & Confluent Data/AI Projects)

Work Set-up: Remote/WFH (open to Filipino citizens or permanent visa holders only)

Shift Schedule: 10 am-6 pm SGT/PHT

Required Qualifications
  • Bachelor's degree in Computer Science, or a related quantitative field
  • At least 3 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 .
  • Must have AWS certification / AWS Certified
  • 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, AzureDevOps, or similar).
  • Must have a working laptop
Preferred Qualifications (Nice to Have)
  • AWS Certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified 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, QuickSight).
  • Understanding of MLOps principles and tools.
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, KafkaConnect, 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).
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