Lead Data Engineer

1 dia atrás

Curitiba, 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 ProficientResponsibilities- Lead the implementation of scalable Lakehouse architecture using Delta and medallion architecture- Elevate data engineering skills across our team through mentorship, collaboration, and exemplification.- Lead development of scalable data pipelines using incremental ingestion and streaming- Build and maintain data infrastructure with tools like Databricks, Spark, Airflow 2 in an AWS environment- Collaborate closely with technical teams across the enterprise to help us transform complex data into actionable insights- Ensure high data quality standards by leveraging best practice approaches- Help architect storage layers, metastore/catalog solutions, and performance optimization- 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.- 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- Help establish team coding standards and best practices.- Help refine development and operational processes to drive consistent, predictable quality- Participate in our on-call schedule to help us ensure availability of critical data services- Provide technical leadership on DevOps, security, and deployment strategies for AI/ML modelsRequirements- 8+ years of experience in data engineering, including senior/lead experience- Expertise in Lakehouse architectures, Delta/Parquet file formats, hive metastore solutions (Glue, Unity Catalog), and ETL processes (Airflow and Databricks)- Strong Experience with Python and SQL- Strong proficiency in data modeling (OLTP/OLAP)- Strong experience working with AWS cloud infrastructure services- Familiarity with Infrastructure as Code (IAC) using Terraform or CloudFormation- Databricks experience- Strong 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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