





Tier-1 brand, mid-level data engineer in Gurgaon, popular role with broad skill requirements increases applicant competition.
Core data engineering skills are transferable, though financial domain experience moderately increases fit sensitivity.
Explicit 5+ years plus mandatory Snowflake, Airflow, dbt, Python, and Azure skills indicate high shortlisting strictness.
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Design, develop, test, deploy, and maintain core components of the Enterprise Data Platform (EDP) to support BlackRock’s data ecosystem.
Automate data pipelines and enhance EDP capabilities using tools like Airflow, Python, Snowflake, and dbt to ensure performance, scalability, and data quality.
Provide L2/L3 support for technical or operational issues and coordinate with product managers and stakeholders throughout the software development lifecycle.
Minimum 5+ years of experience as a data engineer.
Proficiency in advanced Python programming or Advanced Core Java programming, SQL, and stored procedures.
Experience with Snowflake or similar cloud-native databases, orchestration tools especially Airflow, and declarative transformation tools like dbt.
Bachelor's degree in Computer Science is strongly preferred; experience with Azure services and real-time streaming platforms is required.
Experienced in working within large-scale enterprise data platforms focused on data acquisition, ingestion, processing, and orchestration frameworks.
Comfortable coordinating with multiple stakeholders in a matrixed, agile environment and conducting root cause analysis for complex technical issues.
Able to contribute to technology adoption, performance tuning, and design decisions on complex scalable systems within cloud environments.