Big Data Solutions Architect

3 days ago

Makati City, National Capital Region, Philippines beBeeDataEngineer Full time $120,000 - $140,000
Job Overview

We are seeking a highly skilled Big Data Solutions Architect to design and implement cutting-edge data processing systems.

As a key member of our team, you will be responsible for:

  • Designing and implementing data pipelines to ingest data from various sources, including databases, APIs, and streaming platforms.
  • Transforming and integrating data to ensure its compatibility with the target data model or format.
  • Optimizing data storage architectures using data lakes, data warehouses, or distributed file systems.
  • Implementing caching strategies and tuning queries to enhance data retrieval speed and system efficiency.
Key Responsibilities
  • Collaborate with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
  • Utilize frameworks like Hadoop or Spark to perform distributed computing tasks such as parallel processing, distributed data processing, or machine learning algorithms.
  • Implement security measures to protect sensitive data and ensure compliance with data privacy regulations.
Requirements
  • Strong analytical thinking and problem-solving skills.
  • Extensive experience in designing and building data pipelines for large-scale datasets.
  • Proficiency in programming languages such as Python, R, or Scala.
  • In-depth knowledge and experience with distributed systems and technologies including On-prem Platforms, Apache Hadoop, Spark, Hive, or similar frameworks.
Preferred Qualifications
  • Experience with Azure Data Services - Databricks and Data Factory.
  • Familiarity with Git repository maintenance and DevOps concepts.
About This Opportunity
  • This is an excellent chance to work on challenging projects and contribute to the growth of our organization.
  • You will have the opportunity to work with a talented team of professionals who are passionate about big data engineering.

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