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Mid Level Data Developer (Databricks - Spark, PySpark)
CI&T
Brazil
Databricks
Spark
PySpark
Responsibilities:
- Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
- Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
- Translate business requirements into technical specifications, establish data models and governance policies.
Qualifications:
- Solid experience with relational databases (DB2, Oracle, SQL Server) and non-relational data formats.
- Deep knowledge of data modeling, ETL/ELT processes, and architectures like Data Warehouses and Data Lakes.
- Practical experience with Databricks, cloud platforms (especially Azure), and proficiency in SQL, Python, and Spark.
Benefits:
- Health and dental insurance, meal and food voucher, childcare assistance.
- Extended parental leave, gym partnership via Wellhub, profit sharing, life insurance.
- Continuous learning platform, discount club, and language learning platform.
CI&T
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.