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Senior Data Developer

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

Location

Brazil

Posted

8 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Developer

CI&T

• Design, build, and maintain robust ETL/ELT processes to ingest, transform, and deliver data across a modern Data Lake architecture • Develop and optimize distributed data processing workflows using Python and PySpark to handle large-scale datasets efficiently • Implement and refine partitioning strategies for data lake storage frameworks (such as Delta Lake or Apache Iceberg) to balance query performance with storage costs • Write, optimize, and translate complex SQL queries involving CTEs, window functions, conditional expressions, and aggregations • Migrate and modernize data pipelines from legacy RDBMS platforms to cloud-native analytics environments • Leverage object-oriented programming principles to contribute to in-house libraries for code reusability and standardization • Work confidently with AWS-native services including Glue (Jobs, Catalog, Triggers, Workflows), Athena, Redshift, S3, Lambda, EventBridge, and related data services • Collaborate with infrastructure and DevOps teams to provision and manage data resources using Infrastructure as Code (IaC) tools such as CloudFormation, CDK, or Terraform • Monitor data pipeline health and performance using CloudWatch and other observability tools, proactively addressing issues and improving reliability • Ensure data integrity, consistency, and compliance across pipelines and storage layers • Implement metric tracking and observability frameworks to provide transparency into data workflows and SLAs • Support data catalog management and metadata governance practices • Partner with data analysts, scientists, and business stakeholders to understand requirements and translate them into scalable technical solutions • Contribute to technical documentation, code reviews, and knowledge sharing within the team • Stay current with emerging data engineering practices, tools, and cloud-native innovations

Job Requirements

  • Solid experience working with ETL processes and data pipeline development with AWS
  • Strong proficiency in Python as the primary programming language, with demonstrated experience writing and optimizing PySpark code for distributed data processing
  • Thorough understanding of SQL , including complex queries (CTEs, window functions, aggregations, conditional expressions) and experience translating workloads from legacy RDBMS platforms
  • Hands-on experience with AWS Glue (Jobs, Catalog, Triggers, Workflows), Athena , and Redshift
  • Solid understanding of Data Lake architectures and partitioning strategies to optimize performance and cost
  • Good understanding of object-oriented programming (OOP) principles and experience working with reusable code libraries
  • Comfortable working with Git , Shell scripts , and Linux environments
  • Familiarity with observability, monitoring, and metric tracking practices
  • English Advanced/Fluent
  • Nice to Have: Experience with open table formats such as Delta Lake or Apache Iceberg
  • Knowledge of TypeScript
  • Practical experience with Infrastructure as Code (IaC) tools such as CloudFormation (preferred), CDK , or Terraform
  • Familiarity with additional AWS services such as SageMaker AI , ECS , RDS , DynamoDB , IAM , or EventBridge
  • Experience working with Pandas for data manipulation and analysis
  • Exposure to machine learning workflows or AI-driven data initiatives

Benefits

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health 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
  • And many more!

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