Data Engineer

Responsibilities for Data Engineer

• Re-engineer and maintain a data pipeline architecture that is efficient, secure and versatile to support both batched and streaming data sources.
• Drive continuous improvement in the data pipeline, including data delivery optimization and infrastructure improvements for greater efficiency and scalability.
• Implement best practices for data pipeline architecture ensuring compliance with data privacy and security guidelines.
• Collaborate and maintain strong working relationships with partners and internal stakeholders to ensure the timely delivery of quality data.
• Assist software personnel in handling project related work and other requirements
• Coordinate with other software professionals and developers

Qualifications for Data Engineer

• Bachelor’s Degree in Computer Engineering, Computer Science or equivalent disciplines.
• Minimum 5 years of work experience as a data engineer or similar role.
• Strong hands-on experience with languages such as Python, Java, Scala.
• Working knowledge of SQL and experience working with both relational and nonrelational databases.
• Hands-on experience working with technologies like Hadoop, Hive, Map Reduce, Spark, Kafka, Flume, etc.
• Experience with Azure Cloud data services.
• Experience in securing data and handling data compliance needs is a plus.
• Strong and effective communication, negotiation and influencing skills.
• Ability to deal with and resolve complex problems.
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Able to work well in a team setting

If you are interested, get in touch with us at info@holywally.com

HolyWally is committed to being an equal opportunity employer. Ensuring a diverse and inclusive workplace is a core HolyWally value. All qualified applicants will be considered for employment.