Data Engineer

SGS_JOB_2469

Engineering
Remote
Python
SQL
Presto
Tableau
Ads Measurement
Revenue Analytics
Privacy

Contract - 11 Months

• Data Engineer with 3-5 years of experience in ads data platform engineering, SQL/Presto query optimization, data pipeline development, revenue metrics analysis, and data quality management.

Job Responsibilities:

  • Develop and maintain ACDP (Ads Common Data Platform) data pipelines and warehouse tables
  • Support revenue metrics reporting and opportunity score calculations, and help onboarding new advertiser guidance data to ACDP
  • Perform and implement data quality checks and troubleshoot pipeline issues
  • Assist with ACDP privacy compliance and data asset (table/pipeline/dashboard) TIER0 certification processes
  • Provide technical guidance on data source selection and query optimization

Skills:

  • SQL/Presto Expertise: Advanced proficiency in crafting complex SQL queries, with deep experience using Presto for large-scale data analysis and pipeline development.
  • Data Pipeline Authoring: Proven track record in designing and building scalable, high-performance ETL/ELT pipelines, data warehouses, and orchestrating workflows with
  • modern tools.
  • KPI & Revenue Metrics Reporting / Visualization: Strong industry knowledge in revenue reporting and business intelligence KPI development, including metric design, analysis, and reporting.
  • Data Quality &Troubleshooting: Exceptional analytical skills for detecting data discrepancies, performing root cause analysis and implementing robust data validation processes.
  • Ads Domain Knowledge: Solid understanding of advertising data models, campaign structures, and reporting requirements within the advertising industry.
  • Excellent communication skills
  • Extensive hands-on knowledge of building pipelines
  • Data modeling experience
  • Strong Python coding experience

Education/Experience:

  • Experience with Hive tables and data warehouse optimization
  • Knowledge of data governance and compliance requirements
  • Ability to work with cross-functional teams including sales, product, and analytics teams
  • Strong communication skills for technical documentation and stakeholder support

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