Important Information
Location: Peru
Work Mode: Hybrid
Job Summary
As aSenior Data Engineer Databricks (19096)you willbe responsible fordesigning developing andmaintaininghigh-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projectsmentoringjunior engineers and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design build and optimize scalable data pipelines and lakehouse architectures in Databricks using the medallion model (bronze silver gold)
- Develop and maintain ETL/ELT processes in Python and PySpark ensuring high data quality performance and reliability
- Implement and enforce data governance security encryption and PII protection standards across the platform
- Collaborate with engineering and business teams to translate requirements into dimensional models and support migration from legacy systems to AWS-based Databricks environments
Qualifications and Skills
- Bachelors degree in Computer Science Engineering or a related technical field; advanced certifications in Data Engineering or Cloud are highly valued
- 5 years of progressive experience in Data Engineering building scalable production-grade data platforms
- 3 years of deep hands-on experience with Databricks and modern Lakehouse architecture in enterprise environments
- Expert-level proficiency in Python and PySpark designing high-performance distributed data processing pipelines
- Strong expertise designing and implementing dimensional data models (Star Schema SCDs fact/dimension load strategies) for analytical workloads
- Proven experience implementing and optimizing medallion architecture (bronze silver gold) with strong data quality validation frameworks
- Advanced knowledge of data governance encryption standards data lineage anonymization and secure handling of highly sensitive PII data (especially in regulated environments)
- Strong experience operating in AWS cloud environments including performance tuning cost optimization and cloud-native data services
- Databricks certification strongly preferred and considered close to mandatory for senior-level candidacy
- Experience leveraging AI-assisted development tools or agentic coding platforms to enhance productivity and data engineering workflows is a strong plus
AboutEncora
Encorais a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services Product Engineering & Application Modernization Data & Analytics Digital Experience & Design ServicesDevSecOps Cybersecurity Quality Engineering AI & LLM Engineering among others.
AtEncora we hire professionals based solely on their skills and do not discriminate based on age disability religion gender sexual orientation socioeconomic status or nationality.
Required Experience:
Senior IC
Important InformationLocation: PeruWork Mode: HybridJob SummaryAs aSenior Data Engineer Databricks (19096)you willbe responsible fordesigning developing andmaintaininghigh-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate t...
Important Information
Location: Peru
Work Mode: Hybrid
Job Summary
As aSenior Data Engineer Databricks (19096)you willbe responsible fordesigning developing andmaintaininghigh-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projectsmentoringjunior engineers and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
- Design build and optimize scalable data pipelines and lakehouse architectures in Databricks using the medallion model (bronze silver gold)
- Develop and maintain ETL/ELT processes in Python and PySpark ensuring high data quality performance and reliability
- Implement and enforce data governance security encryption and PII protection standards across the platform
- Collaborate with engineering and business teams to translate requirements into dimensional models and support migration from legacy systems to AWS-based Databricks environments
Qualifications and Skills
- Bachelors degree in Computer Science Engineering or a related technical field; advanced certifications in Data Engineering or Cloud are highly valued
- 5 years of progressive experience in Data Engineering building scalable production-grade data platforms
- 3 years of deep hands-on experience with Databricks and modern Lakehouse architecture in enterprise environments
- Expert-level proficiency in Python and PySpark designing high-performance distributed data processing pipelines
- Strong expertise designing and implementing dimensional data models (Star Schema SCDs fact/dimension load strategies) for analytical workloads
- Proven experience implementing and optimizing medallion architecture (bronze silver gold) with strong data quality validation frameworks
- Advanced knowledge of data governance encryption standards data lineage anonymization and secure handling of highly sensitive PII data (especially in regulated environments)
- Strong experience operating in AWS cloud environments including performance tuning cost optimization and cloud-native data services
- Databricks certification strongly preferred and considered close to mandatory for senior-level candidacy
- Experience leveraging AI-assisted development tools or agentic coding platforms to enhance productivity and data engineering workflows is a strong plus
AboutEncora
Encorais a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services Product Engineering & Application Modernization Data & Analytics Digital Experience & Design ServicesDevSecOps Cybersecurity Quality Engineering AI & LLM Engineering among others.
AtEncora we hire professionals based solely on their skills and do not discriminate based on age disability religion gender sexual orientation socioeconomic status or nationality.
Required Experience:
Senior IC
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