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Programming Languages: Strong proficiency in Python and advanced SQL .
Data Pipelines: Hands-on experience with ETL/ELT frameworks and tools
Orchestration: Experience with workflow orchestration tools
Databases: Strong understanding of relational databases (PostgreSQL, MySQL) and NoSQL databases.
Familiarity with cloud infrastructure - AWS
Experience with containerization and Understanding of data streaming concepts (Kafka, Spark Streaming).
Knowledge of version control (Git) and CI/CD practices.
Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.
Experience: 5+ years of professional experience in data engineering, database development, or a related software engineering role. Proven track record of building and maintaining production-grade data pipelines.
5+ years of professional experience in data engineering, database development, or a related software engineering role.
Proven track record of building and maintaining production-grade data pipelines.
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Global financial services organization enabling growth and economic progress.
Visit company websiteJobs and hiring trendsFull-time
Senior · 6+ years experience
Hybrid
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