Lead Data Engineer

3 semanas atrás


Brasil Acendeo Tempo inteiro

Lead Data Engineer

Description

We 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 Beginner

A2 Elementary

B1 Intermediate

B2 Upper-Intermediate

C1 Advanced

C2 Proficient

Responsibilities

- 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 models

Requirements

- 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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