BAU_L3-Data Engineer
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Role details
Tech stack
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Job description
We are seeking an experienced Data Eng Sr with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives. Key Responsibilities
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Work with the Data Engineering Tower, in multiple teams and delivery pods.
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Own end-to-end data platform delivery, operational excellence, and SLA adherence.
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Drive scalable data pipeline development, data quality, and platform reliability.
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Manage cross-functional dependencies, stakeholder communication, and issue escalations.
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Ensure high availability, monitoring, alerting, and production support readiness.
Requirements
Do you have experience in System tuning?, * Strong experience with Databricks, Apache Spark, and performance tuning.
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Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
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Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.
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Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
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Strong platform management, monitoring, and incident management experience.
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Excellent leadership and stakeholder management skills.
Preferred Domain Experience
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Asset Management
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Investment Management
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Capital Markets
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Portfolio & Market Data Platforms
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