Data Engineer

Company:  Bayone
Location: Pleasanton
Closing Date: 07/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Key Responsibilities:
  • ssist in the design, development, and maintenance of ETL (Extract, Transform, Load) pipelines to move data from various sources into data warehouses and databases.
  • Collaborate with senior data engineers to improve and optimize existing data systems and architectures.
  • Develop and maintain data models and structures to ensure efficient querying and reporting.
  • Troubleshoot data-related issues, including discrepancies, delays, or failures in data pipelines.
  • Participate in data cleansing efforts to ensure data quality and integrity.
  • Implement data integration processes to support the requirements of business teams and data analysts.
  • Work with cloud data platforms (e.g., AWS, Azure, GCP) to deploy data pipelines and manage data storage.
  • Help monitor data flows, logs, and system performance to ensure smooth data operations.
  • Contribute to the creation of technical documentation, including pipeline workflows and data schemas.
  • Support senior team members in ongoing data engineering projects and initiatives.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.
  • Basic knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL, or similar).
  • Familiarity with data processing tools (e.g., Apache Spark, Hadoop) and programming languages like Python or Java.
  • Exposure to cloud platforms like AWS, Google Cloud, or Azure is a plus.
  • Familiarity with version control systems (e.g., Git).
  • Basic understanding of ETL concepts and pipeline design.
  • Strong problem-solving skills and attention to detail.
  • Eagerness to learn new tools and technologies in data engineering.
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