[8GS] Senior Data Engineer

Software Mind is seeking a Senior Data Engineer to join the Data Engineering team of one of our clients. This is a hands-on role focused on building and maintaining scalable data pipelines ensuring data quality and supporting analytics and reporting across the organization.

Main Responsibilities

• Design develop and maintain secure scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources
• Build and optimize data models and processing workflows to support BI analytics and reporting needs
• Develop monitoring and alerting solutions to ensure pipeline performance and data quality
• Build insightful dashboards reports and datasets in Domo
• Integrate data from external APIs and third-party systems (e.g. Salesforce)
• Collaborate with Software Engineering Architecture Product Analytics and IT teams
• Translate business requirements into robust technical solutions
• Conduct code reviews and provide feedback to engineering team members
• Mentor other data engineers and contribute to onboarding efforts
• Participate in Agile ceremonies including standups retrospectives and planning

Qualifications :

Requirements

• 5 years of experience developing and maintaining ELT/ETL systems
• Strong proficiency in SQL advanced queries data modeling stored procedures query optimization
• Hands-on experience with Snowflake or BigQuery
• Proficiency in Python
• Experience with AWS cloud-native services (Kinesis Lambda S3 SQS CDK)
• Experience building and maintaining data pipelines from diverse sources
• Strong analytical thinking problem-solving and debugging skills
• Strong written and verbal English communication skills
• Comfortable working in a fast-paced Agile environment

Nice to Have

• Experience creating datasets dataflows and dashboards in Domo
• Experience building integrations with SaaS APIs such as Salesforce
• AWS Data Analytics Certification or Snowflake Data Engineering Certification
• Experience with MongoDB or DynamoDB

Additional Information :

We are accepting applications from LATAM countries
#LI-DNI

Remote Work :

Yes

Employment Type :

Full-time