Lead Data Engineer

Há 2 dias

Rio de Janeiro, Brasil Acendeo Tempo inteiro

Lead Data EngineerDescriptionWe are looking for a highly experienced Lead Data Engineer to lead and guide the technical evolution of our enterprise data lake. This role will combine hands-on development, tactical guidance, team leadership, and partner engagement across our technical team.English fluency is a MUST for this role Only candidates with level C1 or C2 will be considered:A1 BeginnerA2 ElementaryB1 IntermediateB2 Upper-IntermediateC1 AdvancedC2 ProficientResponsibilitiesLead the implementation of scalable Lakehouse architecture using Delta and medallion architectureElevate data engineering skills across our team through mentorship, collaboration, and exemplification.Lead development of scalable data pipelines using incremental ingestion and streamingBuild and maintain data infrastructure with tools like Databricks, Spark, Airflow 2 in an AWS environmentCollaborate closely with technical teams across the enterprise to help us transform complex data into actionable insightsEnsure high data quality standards by leveraging best practice approachesHelp architect storage layers, metastore/catalog solutions, and performance optimizationOversee cloud infrastructure in AWS using Terraform, with a deep understanding of services like S3, IAM, KMS, Glue, Athena, Redshift, SNS/SQS, MSK, and Kinesis.Help guide the integration of master data management and governance solutions like Datahub to track the health, lineage, and meaning of data across the enterpriseHelp establish team coding standards and best practices.Help refine development and operational processes to drive consistent, predictable qualityParticipate in our on-call schedule to help us ensure availability of critical data servicesProvide technical leadership on DevOps, security, and deployment strategies for AI/ML modelsRequirements8+ years of experience in data engineering, including senior/lead experienceExpertise in Lakehouse architectures, Delta/Parquet file formats, hive metastore solutions (Glue, Unity Catalog), and ETL processes (Airflow and Databricks)Strong Experience with Python and SQLStrong proficiency in data modeling (OLTP/OLAP)Strong experience working with AWS cloud infrastructure servicesFamiliarity with Infrastructure as Code (IAC) using Terraform or CloudFormationDatabricks experienceStrong AWS experience. Certified AWS Solutions Architect or Data Engineer preferred.Bachelor’s degree in computer science, Information Systems, Data Science, Mathematics, or similar fields, or equivalent experience

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