Cloud -Data Engineer
We are seeking a skilled Data Engineer to design, build, and maintain reliable data pipelines and systems. You will collaborate with data scientists, analysts, and software engineers to ensure clean, high-quality data is readily available for analytics and decision-making.
Key Responsibilities-
Design, develop, and maintain ETL/ELT pipelines using tools like Airflow, dbt, or similar.
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Build and optimize data models for reporting and analytics.
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Integrate data from various sources (APIs, cloud storage, databases).
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Monitor data pipelines for failures and performance issues.
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Partner with stakeholders to understand data needs and deliver solutions.
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Implement and enforce data governance, quality, and security best practices.
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Maintain documentation for data processes, schemas, and architecture.
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Assist in the migration to or maintenance of cloud data infrastructure (e.g., AWS, GCP, Azure).
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Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
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5+ years of experience in data engineering or related roles.
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Proficient in SQL and one or more programming languages (Python preferred).
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Experience with modern data stack tools.
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Hands-on experience with cloud platforms (AWS, GCP, or Azure).
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Strong understanding of data modeling and warehousing concepts.
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Familiarity with CI/CD and version control.
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Experience with containerization -Docker, Kubernetes.
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Exposure to streaming data platforms such as Kafka, Kinesis.
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Knowledge of data privacy and compliance standards like GDPR, HIPAA.
For more details please reach on [email protected] .
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