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Senior Data Developer, AWS

Software EngineerSoftware EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1995H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

78 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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