[Job-32448] Master Data Developer (Databricks), Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-10-27). Last seen at its source 3h ago.
We have tracked this listing since 27 Oct 2026 (6 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $40–62/hr
Middle 50% of 25 listings that do state pay — Engineering · all levels · Brazil · USD/hour. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Lever employer's own board first seen 6d ago · last seen 3h ago
The listing
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
As CI&T grows, we seek a talented, motivated, and experienced Data Developer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive.
The Data Developer will be responsible for implementing and optimizing data architectures, ensuring data quality and reliability, and collaborating closely with analytics and business teams to deliver high-performance data solutions. This position requires strong technical expertise in data engineering, cloud platforms, and modern data stack technologies, combined with the ability to translate business requirements into effective technical solutions.
Responsibilities:
- Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.
- Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy and modernization.
- Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.
- Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.
- Collaboration: Work closely with Data & Analytics Managers and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.
- Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.
- Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.
- Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.
- Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.
Requirements:
- Hands-on Databricks migration with the databricks/migrate tool (notebooks,
jobs, clusters, secrets, ACLs), Unity catalog to Glue Catalog - Notebook and job migration: notebooks, DAG pipelines, DLT pipelines
- Storage path refactoring: /mnt/ DBFS references to S3-backed locations
- Data migration execution: Deltalake format to Iceberg format on S3 (Delta tables, raw files), incremental sync
- Streaming: Auto Loader / DLT checkpoint re-bootstrap, event_id dedup
- Validation: row counts, checksums, sample queries, ETL runtime comparison
- Secrets: recreate secret scopes in AWS Secrets Manager
- AWS services: S3, Glue, Secrets Manager, IAM basics, Athena, LakeFormation and
EMR - Languages: Spark SQL, PySpark, Java, Python and Scala
- Agile pod delivery: daily ticket updates, standups, code review