Software Developer

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 an 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 bachelors or masters 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.

Rate range -$60-$65