Sr Analytics Engineer

Responsibilities

• Design and build scalable data pipelines using Python and SQL across Oracle, SQL Server, PostgreSQL, and OCI environments.
• Develop and optimize ETL/ELT workflows using orchestration tools such as Airflow or OCI Data Integration.
• Build and maintain Power BI dashboards, semantic models, and datasets using DAX, Power Query, and data modeling best practices.
• Collaborate with stakeholders to translate business requirements into data models, KPIs, and visualizations.
• Implement CI/CD pipelines using GitLab and automate deployments using Docker and Kubernetes.
• Ensure data quality, governance, and security (RLS, access control, auditing, compliance).
• Optimize performance across pipelines and dashboards, including query tuning and refresh strategies.
• Monitor pipeline health and automate operational processes using Python scripting and Unix tools.
• Support cloud and on-prem data environments, including migrations and scaling strategies.
• What we need from you:
• 8+ years of experience in data engineering, analytics engineering, or BI development.
• Strong hands-on experience with Python and SQL for building data pipelines.
• Strong experience with Power BI (data modeling, DAX, performance tuning, RLS).
• Experience with databases: Oracle, SQL Server, PostgreSQL.
• Experience with ETL/ELT tools and orchestration frameworks (Airflow preferred).
• Experience with DevOps tools: GitLab, Docker, Kubernetes.
• Knowledge of data warehousing concepts (star schema, dimensional modeling).
• Experience with cloud platforms (OCI preferred, AWS/Azure is a plus).
• Strong understanding of data governance, security, and compliance.
• Additional knowledge and/or experience desired:
• Experience with Infrastructure as Code (Terraform, Ansible).
• Experience with real-time/streaming pipelines (Kafka).
• Knowledge of financial/wealth management domain.
• Relevant certifications (OCI, Azure, Power BI, Data Engineering).
• SEI's competitive advantage
• To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about.
• Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.
• We are a technology and asset management company delivering on our promise of building brave futures-for our clients, our communities, and ourselves. Come build your brave future at SEI.
• SEI is an Equal Opportunity Employer and so much more...
• AI Acceptable Use in the application and interview process:

Benefits

Additional Information

SEI is seeking a Senior Analytics Engineer responsible for designing, developing, and optimizing scalable data pipelines and delivering high-quality business insights through Power BI dashboards. This role bridges data engineering and business intelligence, requiring strong expertise in Python, SQL, and modern data platforms along with hands-on experience in data modeling, visualization, and performance optimization in Power BI. You will own the data lifecycle from ingestion to visualization (pipeline → semantic model → dashboard).

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