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Software Mind

Software Mind is a global custom software engineering and digital transformation consultancy. Headquartered in Kraków, Poland, the company operates nearshore and offshore delivery centers across Europe, North America, and Latin America. It provides end-to-end software development, cross-functional engineering teams, and technology consulting to scale-ups, unicorns, and enterprise clients worldwide.

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!

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

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

We are accepting applications from LATAM countries

#LI-DNI

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