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AWS Cloud Architect
6 months ago
Job Responsibilities :
Data Architecture and Cloud Strategy :
- Develop and maintain a comprehensive data architecture and cloud strategy that aligns with the organization's goals and needs.
- Design, implement and manage cloud-based data infrastructure on AWS, ensuring scalability, reliability, and cost-efficiency.
- Utilize AWS services (S3, Glue, EMR, Redshift, Lambda, Kinesis, synapse, big query, etc.) to build and optimize data pipelines and storage solutions.
- Champion the use of data warehouse architecture and optimize its performance for analytical and operational workloads.
Data Engineering :
- Guide data engineering teams to develop, maintain, and optimize ETL processes for data ingestion, transformation, and loading.
- Work with the data engineers to set up data integration and unification using Talend or any other ETL tool.
- Collaborate with data scientists and analysts to ensure data availability and quality, enabling effective analytics and reporting.
Data Ingestion :
- Architect and implement data integration solutions for API ingestion, enabling data from diverse sources to be captured, transformed, and ingested into our data warehouse.
- Manage data integration pipelines to support real-time and batch data processing.
Workflow Orchestration :
- Design, configure, and maintain workflow orchestration using Talend Management Console or Apache Airflow to automate ETL processes and data pipeline executions.
- Monitor and optimize job scheduling, error handling, and performance of data workflows.
Security and Compliance :
- Implement data security protocols, access controls, and encryption to safeguard sensitive data.
- Ensure compliance with data privacy regulations and industry standards.
Collaboration and Documentation :
- Collaborate with cross-functional teams to understand data requirements and provide data solutions to meet their needs.
- Maintain comprehensive documentation for data engineering and data architecture processes and solutions.
- Guide the team in setting up cloud Infra and automation.
- Guide the operations team in setting up automated monitoring & alert mechanisms.
- 5+ years of proven experience in data engineering, cloud architecture, and AWS services.
- Extensive knowledge of data warehouse/data lake technologies, S3, Glue, Redshift, Lambda, synapse, big query, Glue, Apache and Git.
- ETL experience (Talend preferred, Informatica, HVR, Matillion)
- Orchestration tools (Airflow preferred, Talend management solution), Version control Git.
- Strong expertise in programming languages like SQL.
- Strong communication and teamwork abilities
- Excellent problem-solving and analytical skills.
- AWS Cloud Certifications
- AWS services (Kinesis) to build and optimize data pipelines and storage solutions.
- Working experience in processing frameworks like PySpark etc.
- Knowledge of programming languages like Python.
- knowledge of data warehouse/data lake technologies (EMR, Kinesis, AWS security services)
- Expertise in real-time data processing.
- Strong problem-solving abilities and analytical skills, ability to take ownership as appropriate.
- Must be able to integrate quickly into the team and work independently toward team goals.
- Excellent communication and coordination skills, willing to learn new skills.
Bachelor's or higher degree in a relevant field.
Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow (ref:hirist.tech)
