Data Associate

Client of Kalamntina

Responsibilities

• Build and maintain data infrastructure using Kleene (ETL), SQL, and Looker.
• Develop data integrations with third-party tools, internal systems, and APIs.
• Design data ingestion workflows for batch and real-time sources.
• Create and manage scraping pipelines for external data (e.g., competitor pricing, blockchain, regulatory feeds).
• Partner with teams across the company to define KPIs and translate business needs into data models.
• Create and maintain dashboards and reports for key departments including Product, Compliance, Marketing, and Finance.
• Monitor data quality, lineage, and validation across the data stack.
• Support growth initiatives with analytics related to acquisition, retention, and monetization.
• Define and enforce data governance and access protocols.

Qualifications

• 3+ years of experience in data analytics, engineering, or a related role.
• Strong proficiency in SQL and experience working with large datasets.
• Hands-on experience with modern ETL/ELT tools like Kleene (preferred), Airbyte, Fivetran, or dbt.
• Proficient in working with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Experience building data pipelines and automating ingestion using Python and orchestration tools like Airflow or Zapier.
• Familiarity with data modeling best practices (e.g., star and snowflake schemas).
• Experience with Looker and LookML is highly preferred.
• Solid understanding of data governance and privacy standards.