Data Engineer
Saarthee (company site, opens in a new tab)3+ yrsGurugramOn-siteDirect career pageEst. 8–13 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to support data warehouse and data lake operations.
- Develop and manage data warehouse architecture including data modeling, transformation logic, and schema design to enable business insights via dashboards and reports.
- Collaborate with BI analysts, data scientists, and application teams to deliver end-to-end data solutions with emphasis on data quality, compliance, and traceability.
Minimum Requirements
- Minimum 3+ years of analytics/data engineering experience with at least 2 years in architecting and solutioning data platforms.
- Expert-level skills in Azure Data Factory, Azure Databricks, Synapse Analytics, advanced SQL/T-SQL, and Python programming.
- Experience integrating data from Salesforce CRM, Pardot, and Google Analytics (GA4) into data warehouses using APIs or connectors.
- Mandatory skills: SQL, Python, Pardot Data Pipelines, Google Analytics, Salesforce Integration.
Ideal Candidate Profile
- Experienced in architecting and implementing complex data pipelines involving marketing automation and CRM data sources.
- Proficient in cloud-based Microsoft Azure data technologies with hands-on skills in automation, CI/CD, and scripting.
- Comfortable translating business requirements into scalable, secure, and governed data solutions supporting analytics and ML workloads.