[ref. y12935922] Data Engineer/Data Architect - WFH

Job Description

Description

The role requires a deep understanding of data architecture, ETL processes, and big data technologies, as well as a collaborative mindset to work with cross-functional teams.

• Design, develop, and maintain scalable data pipelines and architectures to support data analytics and business intelligence initiatives.
• Collaborate with data scientists and analysts to understand data requirements and provide high-quality data solutions.
• Implement data integration strategies using ETL tools and frameworks, ensuring data quality and consistency across systems.
• Optimize database performance and ensure data security and compliance with industry standards.
• Monitor and troubleshoot data processing systems, ensuring reliability and availability of data services.
• Stay updated with emerging technologies in data engineering and architecture to continuously improve data infrastructure.

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 8-12 years of experience in data engineering or data architecture roles.
• Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Experience with big data technologies such as Apache Hadoop, Spark, or Kafka.
• Strong knowledge of data warehousing concepts and experience with tools like Amazon Redshift, Google BigQuery, or Snowflake.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data storage and processing.
• Proficient in programming languages such as Python, Java, or Scala for data manipulation and integration.
• Understanding of data modeling and design principles, with hands-on experience in building data models.