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Senior Data Engineer (AWS & Confluent) - WFH / WAH / Remote

Senior Data Engineer (AWS & Confluent) - WFH / WAH / Remote

TASQ Staffing SolutionsMetro Manila, Philippines
9 days ago
Job type
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Job description

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, Azure DevOps, or similar).
  • M ust 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, 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).
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    Senior Data Engineer • Metro Manila, Philippines

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