5 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

Categories

Data Engineering
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