21 Sep
|
Orpine
|
Gurugram
JOB DESCRIPTION
We are seeking an Analytics Developer with deep expertise in Databricks, Power BI, and ETL technologies
to design, develop, and deploy advanced analytics solutions. The ideal candidate will focus on creating
robust, scalable data pipelines, implementing actionable business intelligence frameworks, and delivering
insightful dashboards and reports that drive strategic decision-making. This role involves close
collaboration with both technical teams and business stakeholders to ensure analytics initiatives align with
organizational objectives.
KEY RESPONSIBILITIES:
o Leverage Databricks to develop and optimize scalable data pipelines for real-time and batch data
processing.
o Design and implement Databricks Notebooks for exploratory data analysis, ETL workflows, and
machine learning models.
o Manage and optimize Databricks clusters for performance, cost efficiency, and scalability.
o Use Databricks SQL for advanced query development, data aggregation, and transformation.
o Incorporate Python within Databricks workflows to automate and enhance data engineering
processes.
o Create interactive and visually compelling Power BI dashboards and reports to enable self-service
analytics.
o Leverage DAX (Data Analysis Expressions) for building calculated columns, measures, and
complex aggregations.
o Design effective data models in Power BI/Fabric using star schema and snowflake schema
principles for optimal performance.
o Configure and manage Power BI/Fabric workspaces, gateways, and permissions for secure data
access.
o Implement row-level security (RLS) and data masking strategies in Power BI to ensure
compliance with governance policies.
o Build real-time dashboards by integrating Power BI with Databricks and other data sources.
o Provide end-user training and support for Power BI adoption across the organization.
o Develop and maintain ETL/ELT workflows, ensuring high data quality and reliability.
o Implement data governance fram
📌 Analytics Developer (Gurugram)
🏢 Orpine
📍 Gurugram