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Cloud Data Engineer Position
beBeeDataEngineeringVadodara, Gujarat, India14 hours ago
Job descriptionDevelop robust and scalable ETL pipelines using PySpark for processing and Apache Airflow for workflow orchestration. Design and implement batch ETL and streaming ETL processes to handle various data ingestion requirements. Build and optimize data structures and schemas in cloud data warehouses like AWS Redshift. Work extensively with AWS data services, including AWS EMR for big data processing, AWS Glue for serverless ETL, and Amazon S3 for data storage. Implement and manage real-time data ingestion pipelines using technologies like Kafka and Debezium for Change Data Capture (CDC). Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver high-quality, reliable data solutions. Ensure data governance, security, and quality across all data platforms. A competitive compensation package. Opportunities for growth and development within the company. A collaborative and dynamic work environment.
Job Opportunity
We are seeking a highly skilled and experienced Cloud Data Engineer to join our organization.
About the Role :
- This is an excellent opportunity for a talented professional to design, develop, and optimize large-scale cloud data pipelines and warehouse solutions.
- The ideal candidate will be responsible for transforming raw data into actionable insights, ensuring data quality, and maintaining the infrastructure required for seamless data flow.
Key Responsibilities :
What We Offer :
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Cloud Data Engineer • Vadodara, Gujarat, India
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