Role : Senior Data Engineer ( 4 positions)
Location : Remote
Type : Permanent
We are seeking Expert Data Engineers to join our team, responsible for designing, developing, testing, and deploying robust data solutions. The ideal candidates will have hands-on experience with AWS data services such as S3, Glue, Athena, EMR, EC2, and Lambda, and a strong understanding of modern data architectures including data lakes, lake houses, and data mesh. They will collaborate with cross-functional teams to deliver scalable data pipelines, data warehouses, and data marts, ensuring data quality, security, and compliance. 4 Expert Data Engineers
Job Responsibilities / Role
• Design, develop, test, and deploy data pipelines and data platforms using AWS services
• Implement and maintain data lake, lake house, or data mesh architectures
• Collaborate with data engineers, analysts, and Dev Ops teams to deliver business solutions
• Ensure compliance with data governance, security, and records management policies
• Troubleshoot and resolve data-related issues, supporting change management processes
• Demonstrate ownership of projects from inception to delivery
Mandatory Skills
• In-depth understanding of when to use a range of tools as opposed to limited practical experience in a specific set of tools:
• Experience level to be a minimum of 3+ working years in cloud
• Spark/Scala
• Python
• SQL
• AWS expertise in services such as S3, Glue, Athena, EMR, EC2, and Lambda
• ETL design and data modeling
• Analytical thinking: ability to anticipate all edge cases and scalable issues in the future
• Problem-solving skills
• Attention to detail
Nice To Have
• Familiarity with CI/CD tools (e.g., Git Hub Actions)
• Experience with Apache Iceberg or similar table formats
• Exposure to data quality frameworks (e.g., Great Expectations, Deequ)
• Knowledge of Bash and HCL would be an added advantage
• Strong communication skills
• Proactive and self-motivated
• Commitment to continuous learning and improvement
• University degree in technology, preferably in computer science
