Data Engineering Specialist

📋 Description

• Create, develop, and execute robust data pipelines that integrate information from various sources utilizing tools from the AWS ecosystem.

• Develop scalable and effective data enrichment solutions with DBT to convert raw data into customized data models and actionable business insights.

• Oversee integrations, transformation workflows, and task automation using data connectors, SQL, Python, and REST APIs.

• Utilize SQL for querying and manipulating data within both relational and non-relational databases.

• Leverage Spark to process extensive datasets in both real-time and batch modes.

⛳️ Requirements

• Proficient in AWS services such as Athena, S3, Glue, and Lambda.

• Strong knowledge of SQL, DBT, Python, and Spark.

• Experience with data orchestration tools like Apache Airflow.

• Familiarity with various data architecture and modeling techniques for analytics, including Data Mesh, Data Mart, Data Lake, and Data Warehouse.

• Background in Data Modeling (both relational and analytical) and ETL processes.

• Understanding of APIs, Gateways, Microservices, and Containers.

• Knowledge of software engineering best practices, including documentation, automated testing, clean code, and monitoring.

• Hold AWS certifications relevant to the Cloud Data Engineer position, such as Cloud Practitioner, Data Engineer, Solutions Architect, or Machine Learning Engineer.

🏝️ Benefits

• Profit Sharing

• Company Car

• Meal Allowance

• Meal Voucher

• Health Insurance

• Dental Insurance

• Gympass membership

• Private pension plan

• Home office allowance

• Allya

• Unlimited access to courses through Localiza University

• Internal training and development programs

• Discounts on vehicle purchase and rental