AWS Data Architect

Acme Services Private Limited; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Acme Services Private Limited seeks a seasoned data engineering leader to design and implement scalable data pipelines and architectures in Bengaluru. You will drive data processing, ELT/ETL workflows, and warehousing best practices while mentoring a growing team.

Key requirements include strong problem-solving, communication, and leadership abilities, with hands-on experience in Databricks, Snowflake, and cloud platforms (Azure/AWS).

Qualifications

• Proven track record of designing and building scalable data pipelines and architectures.
• Hands-on experience with data processing and transformation.
• Strong understanding of data warehousing concepts and ETL processes.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Strong leadership and team management skills.
• Effective communication skills, both written and verbal.
• Experience with cloud-native data engineering on platforms such as Databricks and Snowflake on Azure/AWS.
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with data visualization tools and techniques.
• Familiarity with machine learning and data science concepts.

Responsibilities

• Proven track record of designing and building scalable data pipelines and architectures.
• Hands-on experience with data processing and transformation.
• Strong understanding of data warehousing concepts and ETL processes.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Strong leadership and team management skills.
• Effective communication skills, both written and verbal.

Skills

Data pipeline design

Data processing

ETL concepts

Leadership

Communication

Problem solving

Data visualization

ML concepts

Tools

Databricks

Snowflake

Azure

AWS

Docker

Kubernetes

Job description

Job Description:

• Proven track record of designing and building scalable data pipelines and architectures.

• Hands-on experience with data processing and transformation.

• Strong understanding of data warehousing concepts and ETL processes.

• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.

• Strong leadership and team management skills.

• Effective communication skills, both written and verbal.

• Preferred Qualifications:

• Experience with cloud-native data engineering on

• platforms such as Databricks and Snowflake on

• Azure/AWS.

• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

• Experience with data visualization tools and techniques.

• Familiarity with machine learning and data science concepts.