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Data Warehouse Architect

1 month ago

Pune, Maharashtra, India ProcDNA ytics Pvt Ltd Full time
Job Title: Sr Engagement Lead

At ProcDNA ytics Pvt Ltd, we are seeking a highly skilled and experienced Sr Engagement Lead to join our team. As a key member of our organization, you will be responsible for building and maintaining systems for efficient data collection, storage, and processing to ensure seamless integration and analysis.

Key Responsibilities:
  • Design and implement complex and scalable enterprise data processing and BI reporting solutions.
  • Design, build, and optimize ETL pipelines or underlying code to enhance data warehouse systems.
  • Work towards optimizing the overall costs incurred due to system infrastructure operations, change management, etc.
  • Deliver end-to-end data solutions across multiple infrastructures and applications.
  • Coach, mentor, and manage a team of junior associates to help them plan tasks effectively and more.
  • Demonstrate overall client stakeholder and project management skills by driving client meetings, creating realistic project timelines, planning, and managing individual and team tasks.
  • Assist senior leadership in business development proposals focused on technology by providing SME support.
  • Build strong partnerships with other teams to create valuable solutions.
  • Stay up to date with the latest industry trends.
Requirements:
  • 7.5-8 years of experience in designing/building data warehouses and BI reporting with a B.Tech/B.E background.
  • Prior experience of managing client stakeholders and junior team members. A background in managing Life Science clients is mandatory.
  • Proficient in big data processing and cloud technologies like AWS, Azure, Databricks, PySpark, Hadoop, etc. Along with proficiency in Informatica is a plus.
  • Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure Snowflake, etc. And proficiency in SQL, Data modeling, designing ETL pipelines is a must.
  • Intermediate to expert-level proficiency in Python.
  • Proficiency in either Tableau, Power BI, Qlik is a must.
  • Should have worked on large datasets and complex data modeling projects.
  • Prior experience in business development activities is mandatory.
  • Domain knowledge of the pharma/healthcare landscape is mandatory.

Key skills: optimizing the overall costs, SQL, Azure, managing client stakeholders, change management, data warehouse, data storage, Python, BI reporting, Redshift, Tableau, pharma/healthcare domain knowledge, ETL pipelines, AWS, Databricks, data processing, Power BI, deliver end-to-end data solutions, Hadoop, data pipelines, Snowflake, PySpark, data modeling, Qlik, Informatica, data collection, ETL