Senior Data Engineer (V)

Blue Coding is a company specializing in hiring excellent developers from Latin America and other parts of the world. They are seeking a Senior Data Engineer to lead and execute large-scale data migration and modernization initiatives, focusing on building robust data pipelines and ensuring data integrity across enterprise data platforms.

Responsibilities:

• Design, develop, and maintain data pipelines and datastores that support enterprise analytics, data science, and operational workloads
• Lead and support large-scale database migration initiatives, including on-premises to cloud migrations
• Monitor, analyze, and optimize the performance and stability of data layer services and platforms
• Ensure data integrity, quality, and compliance across pipelines and datasets
• Collaborate closely with peers across engineering, analytics, and technology teams
• Guide, coach, and mentor data engineers, BI developers, and analysts
• Design and implement enterprise-scale data solutions with long-term business impact
• Build and maintain data processing solutions using Python and/or Scala
• Work with a variety of data ingestion patterns, including SFTP, APIs, streaming, and batch processing
• Design and support database models optimized for analytical and reporting use cases
• Implement monitoring, alerting, and observability for data pipelines and infrastructure
• Maintain clear and comprehensive documentation of data architectures, pipelines, and processes
• Work within an Agile environment, collaborating through tools such as Jira and Git

Requirements:

• 5+ years of experience working in data engineering or data-centric technical roles
• Strong experience designing and maintaining enterprise-scale data pipelines and platforms
• Solid understanding of data warehousing concepts, modeling strategies, and analytical datasets
• Proven experience with SQL-based data environments and database performance tuning
• Hands-on experience with cloud-based data platforms, particularly on AWS
• Experience working with cloud-native data technologies such as S3, EMR/Spark, Lambda, Kinesis, Firehose, and Glue
• Strong programming skills in Python and/or Scala
• Experience with Infrastructure as Code concepts; Terraform experience is a strong plus
• Experience supporting analytics and data science consumers, including BI tools such as Tableau or PowerBI
• Strong communication skills and the ability to collaborate effectively across teams
• Ability to work autonomously with minimal direction while owning complex data initiatives end-to-end
• Experience with Redshift or other analytical data stores
• Familiarity with NoSQL data models and unstructured data processing
• Experience with cloud monitoring and alerting frameworks
• Exposure to feature stores or advanced analytics platforms
• Prior experience mentoring or leading other data engineers