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2 weeks ago
We are seeking a highly skilled data engineer to play a key role in our organization. The ideal candidate will have a strong background in Big Data technologies, including pySpark, Hadoop, and Hive.
Primary Responsibilities- Develop Efficient Data Processing Pipelines
- Design and develop efficient ETL pipelines as per business requirements, following development standards and best practices.
- Perform Integration Testing and Validation
- Perform integration testing of different created pipelines in cloud environments.
- Provide Estimates and Participate in Code Reviews
- Provide estimates for development, testing, and deployments on different environments.
- Participate in code peer reviews to ensure applications comply with best practices.
- Develop Scalable Data Solutions
- Develops and maintains scalable data solutions to support continuing increases in data volume and complexity.
- Collaborate with Analytics and Business Teams
- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Work Closely with Cross-Functional Teams
- Works closely with a team of frontend and backend engineers, product managers, and analysts.
- Proficiency in Python Programming
- Knowledge of SQL and Database Management Systems
- Experience with Cloud-based Services
- Familiarity with Pyspark and Big Data Technologies
Our organization is committed to delivering high-quality services and products that meet the evolving needs of our clients. We provide innovative solutions to various industries.
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