AWS Data Engineer
Minimum Experience: | 6 To 9 Years |
Job description
**Key Responsibilities :**
- Design and implement data pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
- Collaborate with cross-functional teams to define data requirements and develop data models.
- Optimize data processing performance and resource utilization through continuous monitoring and tuning of pipelines.
- Ensure data security and compliance by implementing access controls and encryption techniques.
- Participate in agile development processes and contribute to the overall architecture and design of the data platform.
**Job Requirements :**
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proficient in Microsoft Azure, AWS, GCP, or similar cloud platforms.
- Familiarity with big data technologies such as Hadoop Distributed File System (HDFS), Apache Spark, and NoSQL databases.
- Strong understanding of SQL and relational databases.
- Knowledge of DevOps principles and practices, including CI/CD pipelines and containerization technologies like Docker.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders at all levels of the organization.
- Design and implement data pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
- Collaborate with cross-functional teams to define data requirements and develop data models.
- Optimize data processing performance and resource utilization through continuous monitoring and tuning of pipelines.
- Ensure data security and compliance by implementing access controls and encryption techniques.
- Participate in agile development processes and contribute to the overall architecture and design of the data platform.
**Job Requirements :**
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proficient in Microsoft Azure, AWS, GCP, or similar cloud platforms.
- Familiarity with big data technologies such as Hadoop Distributed File System (HDFS), Apache Spark, and NoSQL databases.
- Strong understanding of SQL and relational databases.
- Knowledge of DevOps principles and practices, including CI/CD pipelines and containerization technologies like Docker.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders at all levels of the organization.
Full Time, Permanent
Software Development
Education
BCA in Any Specialization, B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization
Post Graduation Not Required
Key Skills
Skills highlighted with ‘‘ are preferred keyskills