
Sr Analytics Engineer
SEI Investments Corporation5 months ago
Hyderābād, IndiaSenior
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 Airflow or OCI Data Integration.
- Build and maintain Power BI dashboards, semantic models, and datasets using DAX, Power Query, and data-modeling best practices.
- Translate business requirements into data models, KPIs, and visualizations in collaboration with stakeholders.
- Implement CI/CD pipelines with GitLab and automate deployments using Docker and Kubernetes.
- Ensure data quality, governance, security, access control, auditing, and compliance.
- Optimize pipeline and dashboard performance through query tuning and refresh strategies.
- Monitor pipeline health and automate operational processes with Python scripting and Unix tools.
- Support cloud and on-premises data environments, including migrations and scaling strategies.
Requirements
- 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 Power BI experience, including data modeling, DAX, performance tuning, and row-level security.
- Experience with Oracle, SQL Server, and PostgreSQL databases.
- Experience with ETL/ELT tools and orchestration frameworks, preferably Airflow.
- Experience with GitLab, Docker, and Kubernetes.
- Knowledge of data warehousing concepts, including star schema and dimensional modeling.
- Experience with cloud platforms, preferably OCI; AWS or Azure experience is a plus.
- Strong understanding of data governance, security, and compliance.
- Experience with Terraform or Ansible is desirable.
- Experience with real-time or streaming pipelines using Kafka is desirable.
- Knowledge of the financial or wealth management domain is desirable.
- Relevant OCI, Azure, Power BI, or Data Engineering certifications are desirable.
Benefits
- Hybrid working environment and work-life balance support.
- Medical insurance, term life insurance, voluntary provident fund, 10 predefined holidays, two floating holidays, and paid time off.
- Paid parental leave, paid volunteer days, professional development assistance, and access to employee networks.
Tech Stack
AnsibleApache AirflowApache KafkaAWSAzureDockerKubernetesMicrosoft SQL ServerPostgreSQLPythonSQLTerraform
Categories
Data Engineering