Requirements

Expected technologies

Microsoft Azure

Google Cloud Platform

AWS

Python

SQL

Databricks

Power BI

Optional technologies

PostgreSQL

Microsoft SQL Server

Apache Spark

Azure DevOps

Apache Airflow

Our requirements

• Around 4+ years of hands-on experience.
• Strong hands-on experience with Databricks (PySpark, Spark SQL).
• Nice to have: exposure to Databricks Admin or System Tables.
• Experience with Power BI as a reporting layer.
• Solid understanding of Azure Cloud services.
• Experience with Azure DevOps CI/CD pipelines.
• Strong analytical and problem-solving skills — especially in non-standard or first-time scenarios.
• Excellent organizational skills: capacity management, backlog structuring, task planning.
• High self-reliance, ownership mentality, and ability to operate without constant direction.
• Communication skills enabling smooth stakeholder collaboration.

Optional

• Experience with Databricks workspace administration.
• Knowledge of Azure monitoring stack (Azure Monitor, Log Analytics, App Insights).
• Familiarity with metadata-driven or enterprise-scale data platforms.
• Demonstrated readiness to take on technical leadership responsibilities.

Your responsibilities

• Design, develop, and optimize Databricks pipelines using PySpark and Spark SQL.
• Build and support Azure Observability components to ensure visibility and reliability across data ecosystems.
• Develop and maintain Power BI dashboards as the reporting layer for business and technical stakeholders.
• Implement and improve CI/CD processes using Azure DevOps (ADO).
• Work with D&A Platform tools (FlexFlow, FlexShare, Metadata) to extend data capabilities.
• Tackle complex and previously unaddressed client problems — providing clarity, structured thinking, and innovative solutions.
• Take responsibility for capacity planning, task prioritization, and backlog management.
• Proactively suggest improvements and identify new areas of value (light cross-selling) within a trusted client relationship.
• Collaborate with both technical and business teams — contributing not only as an expert, but as someone shaping the direction of work.