Data Engineer

Akaasa Technologies; Dublin (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Akaasa Technologies is seeking a Data Engineer to join our Dublin, CA team. The role focuses on platform engineering, monitoring, and optimization across data platforms, with emphasis on Snowflake, Azure, Python, and SQL. The position is hybrid, requiring onsite presence two days per week in Dublin, CA.

You will drive cost management, automation, and adoption of next-generation analytics capabilities while solving complex technical issues with ownership and accountability.

Qualifications

• 7+ years IT experience in data technologies and analytics platforms in cloud environments.

Responsibilities

• Platform management, monitoring, and performance optimization for data platforms.
• Production support, automation, and cost management for data services.
• Evaluate and enable emerging technologies and architectural patterns (lakehouse, Iceberg).
• Develop and troubleshoot SQL/Python solutions; drive continuous platform improvements.

Skills

SQL

Python

Tools

Snowflake

Azure

dbt

Apache Iceberg

CI/CD pipelines

Job description

Please remember LinkedIns must match resumes and have profile pictures.

We don't need 15yrs of experience, 7-10 ideal. We can take senior as well Especially if they have AI agent experience.

Data Engineer

Dublin CA 2 days a week onsite hybrid

• Local candidate who can be onsite at least 2 day/week ideal
• 7 yrs IT exp, 5+ atleast in data platforms
• Snowflake: MUST
• Azure: MUST
• Python: MUST
• SQL: MUST, including complex/advanced SQL

JD:

The role is focused on platform engineering, including platform management, monitoring, performance optimization, production support, automation, and cost management, while also evaluating and enabling emerging technologies and architectural patterns such as lakehouse architectures, open table formats (e.g., Apache Iceberg), modern data platform services, and next-generation analytics capabilities. Success in this position requires strong hands-on technical expertise, including the ability to develop and troubleshoot solutions using SQL and Python, a proactive approach to problem-solving, a strong sense of ownership and accountability, and the ability to independently diagnose and resolve complex technical issues while driving continuous improvement across the platform.

QUALIFICATIONS & SPECIAL SKILLS REQUIRED

• Minimum 7 years of IT experience in data technologies, including experience supporting, engineering, and operating enterprise data and analytics platforms in cloud-based environments.
• 5+ years of hands-on experience with Snowflake and modern cloud-based data platforms, including technologies such as dbt, Azure, and related data ecosystem tools. Experience with Snowflake administration, performance tuning, security, operational support, and cost optimization is highly desirable
• Strong experience with SQL and Python for automation, diagnostics, troubleshooting, operational support, and platform improvements. Experience designing, implementing, and supporting CI/CD pipelines, source control practices, deployment automation, and DevOps processes for data platform solutions
• Solid understanding of data warehousing, ELT/ETL frameworks, orchestration, data modeling, APIs, analytics/reporting platforms, and modern cloud data architectures
• Experience monitoring, troubleshooting, and optimizing production platforms, including observability, incident management, root-cause analysis, performance tuning, and reliability improvements
• Knowledge of cloud cost management, platform governance, and emerging data technologies such as lakehouse architectures, open table formats (e.g., Apache Iceberg), and next-generation analytics platforms.
• Strong analytical, problem-solving, and communication skills, with a demonstrated ability to take ownership, work independently, quickly learn new technologies, and collaborate effectively across technical and business teams