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Technologies

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Tech DNA
Python
SQL
Amazon Redshift
BigQuery
Google BigQuery
Amazon ECS
Amazon EKS
Amazon S3
AI/ML
Python
SQL
Amazon ECS
Amazon EKS
Amazon S3
AWS
AWS Lambda
CI/CD
Kubernetes
Amazon Redshift
BigQuery
Databricks
Google BigQuery
Snowflake
Other
Clean Architecture
GDPR
Stack modernity Modern
73/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python 1 job Required
SQL 1 job Required
Snowflake 1 job Required
Databricks 1 job Required
CI/CD 1 job Required
AWS 1 job Required
Kubernetes 1 job Optional
Clean Architecture 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
Kubernetes Sep 2026
SQL Sep 2026
Snowflake Sep 2026
Python Sep 2026
Google BigQuery Sep 2026
GDPR Sep 2026
Databricks Sep 2026
Clean Architecture Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
28/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
100%

Jobs

$96k – $207k per year (Estimated) • Remote • Full-Time • 7+ years exp
Python
SQL
Snowflake
Databricks
Google BigQuery
Amazon Redshift
BigQuery
Mobile
Clean Architecture
DevOps
CI/CD
AWS
Kubernetes
Amazon EKS
AWS Lambda
Amazon S3
Amazon ECS
Cybersecurity
GDPR
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