Senior Data Developer

🔥 35 minutes ago

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

🤖 Artificial Intelligence

☁️ SaaS

💰 $5.5M Venture Round on 2014-04

Artificial Intelligence • Cloud Services • SaaS

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• 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

🎯 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!