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Mid LevelContractPythonAWSGCPAzureKubernetesDockerTerraformGitAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our team at Ekimetrics, a global leader in marketing and commercial efficiency and AI solutions. This role focuses on building and maintaining our next-generation data infrastructure.
Key Responsibilities
- →Design, develop, and maintain scalable data pipelines (ingestion, transformation, ETL)
- →Automate data quality controls and validation processes
- →Optimize storage, query performance, and infrastructure costs
- →Work with AI teams to support training pipelines, feature stores, and deployment workflows
- →Collaborate with Product, QA, Design, and Software Engineering teams
- →Define and implement data governance, metadata management, and data lineage standards
- →Ensure data integrity, security, and compliance
- →Participate in engineering rituals (code reviews, design discussions, incident handling)
- →Identify and fix defects and performance issues
- →Document developments and propose technical improvements
- →Contribute to recruitment and skill development of junior profiles
- →Participate in office life and internal initiatives
Requirements
- ✓2-4 years of experience in Data Engineering
- ✓Excellent mastery of Python and SQL
- ✓Experience with Databricks
- ✓Cloud experience (AWS, GCP, or Azure)
- ✓Knowledge of modern data warehouses (Snowflake, BigQuery, Redshift, Clickhouse)
- ✓Ability to deliver well-defined, reliable, high-quality features
- ✓Rigor in applying engineering standards (tests, documentation, code review)
- ✓Analytical mindset, attention to detail, and autonomy
- ✓Smooth collaboration with Product, QA, Data, and Software teams
- ✓Proactivity, curiosity, and open-mindedness
- ✓B1/B2 English level
