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[INDIA] Reporting - Technology (Non Pharma)

procdna

Reporting Tool required : SQL, Python, Tableau, GenAI Location : Gurgaon/Pune, India About ProcDNA: ProcDNA is a global consulting firm.

We are seeking a highly skilled and experienced Data Engineer to join our Tech team. The ideal candidate will have a strong background in data visualization, dashboard development, and performance optimization using Tableau. He should have a strong hold on ETL and Data warehousing. You will work closely with business stakeholders, data engineers, and analysts to deliver insightful and scalable dashboards that drive decision-making.

About procdna

  • We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients.
  • We're a passionate team of 350+ across 6 offices, all growing and learning together since our launch during the pandemic.
  • Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds.
  • At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA.

Responsibilities

  • Design, develop, and maintain advanced Tableau/Power BI dashboards and visualizations.
  • Translate business requirements into technical specifications and create data visualizations that are clear, concise, and actionable.
  • Optimize dashboard performance and implement best practices for data visualization.
  • Design, build, and optimize ETL pipelines or underlying code to enhance data warehouse system Collaborate with data engineering teams to ensure data accuracy and availability.
  • Conduct peer reviews and provide guidance to junior developers.
  • Stay updated with the latest Tableau features and industry trends.

Requirements

  • 4 to 8 years of hands-on experience in Tableau/Power BI development.
  • Prior experience in managing client stakeholders and junior team members.
  • Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure Data Factory, Snowflake, etc.
  • And Proficiency in SQL, Data Modeling, and designing ETL pipelines is a must.