The role involves building and optimizing data pipelines, creating analytical dashboards, and supporting analytics and machine learning projects. It requires working with cross-functional teams to enhance data processing and migration to cloud infrastructure.
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 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.
Rate range -$60-$65
• 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 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.
Rate range -$60-$65
Top Skills
Azure Data Factory
C#
Databricks
Hadoop
Hive
Hue
Informatica
Java
Azure
Pig
Power BI
Pyspark
Python
Qlikview
Snowflake
SQL
Tableau
Zealogics LLC Bridgewater, New Jersey, USA Office
1200 US Highway 22, Bridgewater, NJ, United States, 08807
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