Job Description
Key Responsibilities
· Design, develop, and maintain ELT/ETL pipelines to ingest data from marketing and advertising platforms (e.g. LinkedIn, Google Ads, Meta, Semrush, Salesforce, Marketo, etc.) into our marketing data environment.
· Manage data warehousing solutions (e.g. BigQuery, Redshift) as well as their access controls following security compliance.
· Clean, transform, and normalize raw marketing data to ensure accuracy and consistency across all data sources.
· Support dashboard creation and performance tracking reports validating that all data shown is correct according to its original source, avoiding information silos.
· Ensure and document compliance with the enterprise data governance guidelines and security standards.
Qualifications
· 3+ years of experience in data engineering, analytics engineering or data integration roles.
· Strong SQL and Python skills with proven experience on data normalization and transformations to make it report-ready.
· Experience with marketing data APIs (LinkedIn Ads, Google Ads, Meta, TikTok, Marketo, Salesforce).
· Hands-on experience with data warehouses (BigQuery, AWS solutions or equivalent). Experience working with Databricks is a plus.
· Familiarity with data visualization tools (Power BI, Looker Studio).
· Problem-solving, communication and collaboration skills.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Nasdaq
16 jobs posted
About the job
Feb 3, 2026
Mar 5, 2026
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