2 дня назад
Senior Data Developer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Developer (Databricks) (Data Engineering/AI): Building and optimizing scalable data pipelines, data architectures, and integrations for enterprise analytics with an accent on Databricks, cloud platforms, data quality, and governance. Focus on designing ETL/ELT workflows, improving pipeline performance, implementing security controls, and using AI tools to enhance engineering productivity.
Location: Campinas, Brazil; hybrid work with mandatory attendance at the CI&T office three times per week on Tuesday, Wednesday, and Thursday
Company
CI&T delivers AI deployment, application modernization, data and AI, Martech, and technology-integrated business solutions for large enterprises.
What you will do
- Build, optimize, and maintain scalable data pipelines and ETL/ELT processes.
- Implement data lakes, warehouses, integration layers, and Databricks-based data architectures.
- Develop integrations between data sources, third-party tools, APIs, and analytics platforms.
- Implement data quality checks, validation, monitoring, security, and privacy controls.
- Collaborate with Data & Analytics Managers and business stakeholders to deliver technical solutions.
- Optimize query performance, pipeline efficiency, storage costs, and technical documentation.
Requirements
- Senior-level experience in data development and engineering.
- Experience with Databricks and major cloud platforms such as Azure or AWS.
- Strong experience with data pipelines and ETL/ELT processes.
- Proficiency with data warehousing solutions such as BigQuery, Snowflake, or Redshift, plus SQL and Python, Scala, or Java.
- Understanding of data modeling and database design principles, with experience supporting international clients.
- English at B2 level or above and availability to work from the Campinas office three days per week.
Nice to have
- Experience with dbt, Airflow, Fivetran, Stitch, Kafka, Pub/Sub, or Kinesis.
- Databricks, cloud, or data engineering certifications.
- Experience with Docker, Kubernetes, AI/ML pipelines, MLOps, or Infrastructure as Code.
- Experience with D2C initiatives and e-commerce analytics.
Culture & Benefits
- Work in an international organization with more than 8,000 employees across over 25 countries.
- Use AI tools and automation as part of data engineering workflows.
- Benefits are provided according to CI&T Brazil employment policies.
Hiring process
- Complete an assessment during the selection process.
- Support is available to obtain the assessment if needed.
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