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Senior Data Developer, AWS
Location
Brazil
Posted
15 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Developer, AWS
CI&T
• Data pipeline development: build jobs in AWS Glue/Spark or Python (Pandas/Lambdas) to transform raw data into curated datasets. • Data storage structuring: organize data in Amazon S3 (data lake) and integrate it with vector databases or Redshift to support advanced analytics. • Data processing: handle structured and unstructured data, converting it into optimized formats (e.g., Parquet) for efficient querying and analysis. • Orchestration configuration: configure workflows with AWS Step Functions or Managed Workflows for Apache Airflow (MWAA) to automate data processing tasks. • Cross-functional collaboration: work closely with data scientists, engineers, and business stakeholders to understand data requirements and deliver high-quality solutions. • Performance monitoring: monitor and analyze data pipeline performance to ensure reliability and efficiency. • Governance and scalability: implement data governance practices and scalable architectures to support enterprise data initiatives. • AI integration: support integrating AI capabilities into data workflows to enhance the efficiency and effectiveness of solutions.
Job Requirements
- Advanced English proficiency (minimum) for interacting with global teams and producing documentation.
- Strong experience with the AWS ecosystem, particularly using S3 as the primary data source.
- Proficiency with data processing frameworks such as AWS Glue, Spark, or Python (Pandas/Lambdas).
- Experience with Databricks and Databricks Connector, including API integrations for data processing and structuring.
- Expertise handling structured and unstructured data, with knowledge of vector databases (e.g., Qdrant) for AI applications.
- Proven hands-on ability to transform diverse file formats into processable datasets.
- Familiarity with AI frameworks and methodologies.
- Experience with data orchestration tools such as Apache Airflow.
- Knowledge of data governance and compliance standards.
- Understanding of performance optimization techniques for data pipelines.
Benefits
- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnerships with gyms and wellness professionals via Wellhub (Gympass)/TotalPass
- Profit sharing and results participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
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