[8GT] Senior Data Engineer

Company Description

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Job Description

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
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