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Senior Data Engineering Analyst - Affirmative Vacancy for Women
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PySpark
Python
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Responsibilities:
- Migrate systems and data volumes to new cloud infrastructure.
- Develop, optimize, and orchestrate ETL/ELT processes ensuring data integrity and performance.
- Monitor environment health, troubleshoot complex issues, and drive continuous improvement.
Requirements:
- Expertise in AWS data ecosystem (Glue, EMR, Athena, DynamoDB, Lake Formation, S3, EventBridge).
- Strong experience with Apache Spark/PySpark, data warehouse modeling, and data governance.
- Proficiency in SQL and NoSQL databases, Apache Airflow, and DevOps culture.
Benefits:
- Health and dental plan, meal and food vouchers, and childcare allowance.
- Extended parental leave, gym partnership via Wellhub (Gympass) and TotalPass.
- Profit sharing, life insurance, continuous learning platform, and discount club.
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.