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Infinite Computer Solutions
4 months ago
Job Description :
As a DevOps Engineer with AWS expertise, you will play a crucial role in designing, implementing, and optimizing data pipelines on AWS infrastructure using Databricks.
You will work closely with cross-functional teams to ensure the efficient management of data workflows, from ingestion to processing and integration, while adhering to security and compliance standards.
Key Responsibilities :
Developing Data Pipelines :
- Designing and implementing scalable data pipelines using Databricks on AWS infrastructure leveraging Python and Spark.
Data Ingestion :
- Managing the ingestion of structured and unstructured data from various sources into Databricks clusters on AWS, ensuring data quality and reliability.
Data Processing:
- Performing data processing tasks, including transformation, cleansing, aggregation, and enrichment, using Databricks tools and AWS services like EMR (Elastic MapReduce).
Optimization and Performance Tuning :
- Optimizing Databricks jobs and clusters for performance, efficiency, and cost-effectiveness on the AWS platform.
Integration :
- Integrating Databricks with other AWS services such as S3, Glue, Redshift, and Lambda to build end-to-end data solutions.
Monitoring and Maintenance :
- Monitoring Databricks clusters, jobs, and workflows for performance issues, troubleshooting errors, and ensuring high availability and reliability.
Security and Compliance :
- Implementing security best practices and ensuring compliance with data privacy regulations (e.g., GDPR, CCPA) in Databricks deployments on AWS.
Collaboration :
- Collaborating with data engineers, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
Documentation :
- Documenting Databricks workflows, architecture, and best practices to facilitate knowledge sharing and maintain system documentation.
Continuous Learning :
- Keeping up-to-date with the latest advancements in Databricks, AWS services, and data engineering technologies to continuously improve skills and contribute to innovation in data solutions.
Qualifications and Skills :
- Bachelor's degree in Computer Science, Engineering, or related field.
- 4+ years of hands-on experience in DevOps, particularly with AWS.
- Proficiency in Python and Spark for developing data pipelines.
- Experience with Databricks, EMR, S3, Glue, Redshift, Lambda, and other AWS services.
- Strong understanding of security best practices and compliance standards.
- Excellent collaboration and communication skills.
- Ability to work effectively in a fast-paced, dynamic environment.
- Continuous learning mindset with a passion for innovation.
Location: Bangalore, Chennai, Hyderabad