Data Engineer
We are looking for experienced Data Engineers with strong expertise in marketing analytics platforms, Databricks, and modern data engineering practices. Candidates should have hands-on experience building scalable analytics pipelines and supporting campaign analytics and customer insights initiatives.
Data Engineer – Marketing Analytics (Adobe Analytics / Google Ads / Marketo)
Key Skills:
● Strong experience with Adobe Analytics, Google Ads, or Marketo
● Hands-on expertise in Databricks, PySpark, SQL, and ETL/ELT pipelines
● Experience building scalable data ingestion and transformation frameworks
● Strong understanding of Unity Catalog, DBT, and Data Governance concepts
● Experience with campaign analytics, customer analytics, and digital marketing datasets
● Strong knowledge of Data Lake / Lakehouse architecture
● Experience working with cloud platforms such as Azure, AWS, or GCP
● Good communication, analytical, and stakeholder management skills
Good to Have:
● Experience with Medallion Architecture and Delta Lake
● Exposure to BI and reporting tools
● Understanding of data lineage, access control, and data quality frameworks
Responsibilities:
● Design and develop analytics and reporting solutions using Adobe Analytics, Google Ads, and Market
● Build scalable data pipelines and transformation workflows using Databricks
● Implement ETL/ELT processes and analytics-ready datasets
● Manage Unity Catalog, DBT, and data governance frameworks within Databricks
● Collaborate with marketing, analytics, and business teams to gather requirements
● Optimize data models and pipelines for scalability, reliability, and performance
● Ensure data quality, governance, security, and compliance standards
● Create analytical datasets, dashboards, and reporting solutions for business insights
Qualification:
● Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field
Posted May 25, 2026