Cloud Data Architect

1 month ago

Gurugram, India HuQuo Full time

1. Data Architecture and Cloud Strategy - MUST HAVE :


- 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, 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.

2. Data Engineering- MUST HAVE :

- 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.

3. Data Ingestion - MUST HAVE :

- 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.

4. 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.

5. Security and Compliance :

- Implement data security protocols, access controls, and encryption to safeguard sensitive data.

- Ensure compliance with data privacy regulations and industry standards.

6. 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.

7. Infra & Operations :

- Guide the team in setting up cloud Infra and automations.

- Guide the operations team in setting up automated monitoring & alerts mechanism.

Qualifications :

- Bachelor's or higher degree in a relevant field.

- 5+ years of proven experience in data engineering, cloud architecture, and AWS services.

- Extensive knowledge of data warehouse/data lake technologies, Redshift, Lambda, S3, Talend, Glue, Apache Airflow, Git.

- Strong expertise in programming languages like SQL, Python, and working experience in processing frameworks like PySpark etc.

- Strong expertise in real-time data processing.

- Excellent problem-solving and analytical skills.

- Strong communication and teamwork abilities.


- AWS Architect Data Engineering certificate - Good to have

(ref:hirist.tech)

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