Responsibilities • Collaborating with technology and business users to define key business metrics and develop analytical dashboards to provide actionable insights to Clients. • Build and optimize data pipelines to consume data from various sources, transform & model it, and then distribute it to multiple consumers. • Work with multiple data sources (including structured and unstructured) to create a optimize data cubes for consumption by analytical dashboards and / or downstream systems. • Identify, design, and implement improvements / automations for optimizing data processing, storage, and availability, while maintaining scalability, etc. • Build and support analytics tools that utilize the data pipeline to provide actionable insights into data trends and other key business metrics. • Develop and support analytics & machine learning projects. • Support migration of the data platform from on-premises to cloud infrastructure. • Work with various stakeholders including Technology and Client teams to assist with data & analytics related projects and issues. Qualification • We are looking for a candidate with 7+ years of experience in Software Development role, who has attained a bachelor’s or master’s degree in computer science, information technology/systems or another relevant technical field. • Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization. • A successful history of manipulating, processing, and extracting value from large, disconnected datasets. • Hands-on programming experience with Python, Java, or C#. • Working knowledge of a visualization/reporting tool. • Excellent problem-solving and analytical skills with attention to details. • Strong project management and organizational skills. • Experience supporting and working with cross-functional teams in a dynamic environment. • Excellent communication and collaboration skills. Skillset and Experience • Experience with Relational database systems like Sybase, SQL Server, Postgres, etc. • Experience with object-oriented or function scripting languages: Python (NumPy, Pandas), Java, C++, or Scala, etc. • Working knowledge of visualization tools like Tableau, QlikView, Power BI etc. • Experience with Cloud technologies like Snowflake, Microsoft Azure, Databricks, etc is a plus. • Experience with data-science tools / workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus. • Experience with Big Data tools / technologies: Hadoop, Pig, Hive, Hue, PySpark etc. is a plus. • Experience with ETL tools like Azure Data Factory, Informatica, etc. is a plus. • Experience with machine learning / artificial intelligence techniques like regression, classification, clustering, time series, text mining, large language model, etc. is a plus.