
Master Data Developer
Posted Jul 31

Posted Jul 31
This is a fully remote position, open to applicants in Colombia.
• Design, construct, and sustain efficient ETL/ELT processes to ingest, transform, and deliver data within a modern Data Lake architecture.
• Develop and enhance distributed data processing workflows utilizing Python and PySpark to manage large-scale datasets effectively.
• Implement and optimize partitioning strategies for data lake storage systems (such as Delta Lake or Apache Iceberg) to achieve a balance between query performance and storage expenses.
• Craft, refine, and convert intricate SQL queries that involve CTEs, window functions, conditional expressions, and aggregations.
• Transition and modernize data pipelines from traditional RDBMS platforms to cloud-native analytics solutions.
• Operate confidently with AWS-native services, including Glue, Athena, and Redshift.
• Collaborate with infrastructure and DevOps teams to provision and manage data resources using Infrastructure as Code (IaC) tools like CloudFormation, CDK, or Terraform.
• Monitor the health and performance of data pipelines using CloudWatch and other observability tools.
• Strong experience in ETL processes and data pipeline development using AWS.
• High proficiency in Python as the primary programming language, with proven experience in writing and optimizing PySpark code for distributed data processing.
• Comprehensive understanding of SQL, including complex queries (CTEs, window functions, aggregations, conditional expressions) and experience translating workloads from legacy RDBMS platforms.
• Practical experience with AWS Glue (Jobs, Catalog, Triggers, Workflows), Athena, and Redshift.
• In-depth knowledge of Data Lake architectures and partitioning strategies to enhance performance and reduce costs.
• Solid grasp of object-oriented programming (OOP) principles and experience in working with reusable code libraries.
• Comfortable using Git, Shell scripts, and operating in Linux environments.
• Familiarity with observability, monitoring, and metric tracking practices.
• Advanced/Fluent English proficiency.
• Premium Healthcare.
• Meal voucher.
• Maternity and Parental leaves.
• Mobile services subsidy.
• Sick pay-Life insurance.
• CI&T University.
• Colombian Holidays.
• Paid Vacations.
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