Enterprise Data Leader

Há 16 horas


Porto Alegre, Brasil Bebeedataengineer Tempo inteiro

Lead Data Engineer PositionWe are seeking 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 ProficientResponsibilities:Implement Scalable Architecture: Lead the implementation of scalable Lakehouse architecture using Delta and Medallion architecture.Elevate Team Skills: Elevate data engineering skills across our team through mentorship, collaboration, and exemplification.Develop Scalable Pipelines: Lead development of scalable data pipelines using incremental ingestion and streaming.Build Data Infrastructure: Build and maintain data infrastructure with tools like Databricks, Spark, Airflow 2 in an AWS environment.Collaborate with Teams: Collaborate closely with technical teams across the enterprise to help us transform complex data into actionable insights.Ensure Data Quality: Ensure high data quality standards by leveraging best practice approaches.Architect Storage Layers: Help architect storage layers, metastore/catalog solutions, and performance optimization.Oversee Cloud Infrastructure: Oversee cloud infrastructure in AWS using Terraform, with a deep understanding of services like S3, IAM, KMS, Glue, Athena, Redshift, SNS/SQS, MSK, and Kinesis.Integrate Governance Solutions: Help guide the integration of master data management and governance solutions like Datahub to track the health, lineage, and meaning of data across the enterprise.Establish Coding Standards: Help establish team coding standards and best practices.Refine Development Processes: Help refine development and operational processes to drive consistent, predictable quality.Participate in On-call Schedule: Participate in our on-call schedule to help us ensure availability of critical data services.Provide Technical Leadership: Provide technical leadership on DevOps, security, and deployment strategies for AI/ML models.Requirements:Senior Experience: 8+ years of experience in data engineering, including senior/lead experience.Lakehouse Expertise: Expertise in Lakehouse architectures, Delta/Parquet file formats, hive metastore solutions (Glue, Unity Catalog), and ETL processes (Airflow and Databricks).Programming Skills: Strong Experience with Python and SQL.Data Modeling: Strong proficiency in data modeling (OLTP/OLAP).AWS Experience: Strong experience working with AWS cloud infrastructure services.IAC Experience: Familiarity with Infrastructure as Code (IAC) using Terraform or CloudFormation.Databricks Experience: Databricks experience.Certified AWS Solution Architect: Strong AWS experience.Certified AWS Solutions Architect or Data Engineer preferred.Education: Bachelor's degree in computer science, Information Systems, Data Science, Mathematics, or similar fields, or equivalent experience.



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