Junior Data Engineer

LENA - Lately, Everything Needs Analytics


Date: 4 days ago
City: Pasig City
Contract type: Full time
We are looking for bright and talented Junior Data Engineers to join our dynamic team here at LENA.

As a Junior Data Engineer, you will be responsible for building systems that will collect, manage, and convert raw data into usable information for analysis.

Tasks May Include

  • Designing, preparing, and programming data engineering workflows from multiple data sources for front-end, analytics, and storage requirements;
  • Transforming existing data structures for efficient analytical workflows;
  • Accessing and scraping data from various structured and unstructured data sources; and
  • Collaborating closely with partners and customers to understand their data, design data structures, and provide functionality that is beneficial to the project.

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.

Minimum Qualifications

  • Completed Bachelor's degree in a relevant course
  • Strong problem-solving skills with an emphasis on product development
  • Familiarity on batch processing, stream processing, data workflow, ETL pipelines, data storage, database modeling, data warehouse
  • Proficiency in Python or other object-oriented programming languages
  • Experience with DevOps
  • Strong engineering mindset
  • Experience/Knowledge on the following is an advantage:
  • Applications used for the role (i.e. ETL Solutions, Cloud Services, etc.)
  • Certain languages and framework (i.e. SQL, NoSQL, Python, Hadoop, Spark, APIs, REST, etc.)
  • Data Structures (i.e. Hash Indexes, SSTables, LSM-Trees, B-Trees, etc.)
  • OLTP and OLAP
  • Column-Oriented Storages
  • Distributed Data Systems
  • System Design
  • Event-Driven Architecture
  • Statistical and mathematical techniques to solve business problems using Python
  • Working with large data sets, analyzing data, and data reports and visualization

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