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Tier-1 brand, popular Data Engineer role with broad Snowflake/Azure skills in Gurgaon increases applicant competition.
Snowflake and multi-source Salesforce integration skills are transferable, but advisory/client-facing experience raises moderate domain specificity.
Mandatory 7+ years and Snowflake/SQL pipeline experience create high shortlisting strictness.
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Build and manage scalable ELT data pipelines integrating Salesforce and multiple source systems into Snowflake.
Enable bi-directional data flow between Snowflake and Salesforce to support AI-ready data delivery for downstream applications.
Optimize data pipelines and Snowflake workloads for performance, cost, and scalability while ensuring data quality through validation and monitoring.
7+ years of experience in data engineering with expertise in Snowflake and SQL.
Strong experience in data pipeline development using ETL/ELT tools such as ADF, DBT, or Informatica.
Bachelor's or Master's degree in Engineering, Technology, MCA, or MBA with 60% or above.
Work Experience Required: 7+ years.
Experienced in modern data stack integration, specifically Snowflake and Salesforce ecosystems.
Skilled in designing scalable, performant, and cost-effective data architectures supporting enterprise-wide AI and analytics use cases.
Capable of collaborating with data modelers and business analysts to enable AI/ML applications and automation of data workflows.