Skills

Communication Python Tableau SQL NoSQL Data Warehousing Data Engineering MongoDB Cassandra Salesforce Problem-solving Analytics and Reporting Architecture Data Architecture Databases power bi SQL Server Azure AWS cloud platforms Analytics Snowflake Spark Microsoft Azure

Job Specifications

Overview

Design and architect scalable, secure, and high-performance data solutions primarily using the Snowflake platform.
Leverage Openflow experience to optimize data workflows and integrations.
Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relation, files and NoSQL databases.
Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
Implement dimensional modeling techniques to support data warehousing and business intelligence needs.
Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation.
Ensure data quality, governance, and security best practices are adhered to across the data architecture.
Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards.
Stay current with emerging data technologies and recommend improvements to existing data architecture.

Responsibilities

Proven experience as a Data Architect or similar role, with extensive hands-on experience on the Snowflake platform.
Experience with Openflow for workflow automation and data orchestration.
Strong knowledge of SQL Server and relational database concepts.
Proficiency in cloud platforms, particularly Microsoft Azure and Amazon Web Services (AWS).
Understanding of Salesforce data ingestion methods and associated APIs/tools.
Experience working with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Familiarity with analytics and visualization tools such as Power BI and Tableau.
Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
Excellent communication skills to translate technical concepts for non-technical stakeholders.
Experience with Python, Spark, or other data engineering tools/languages.
Knowledge of latest trends in AI/ML areas

Requirements

Proven experience as a Data Architect or similar role, with extensive hands-on experience on the Snowflake platform.
Experience with Openflow for workflow automation and data orchestration.
Strong knowledge of SQL Server and relational database concepts.
Proficiency in cloud platforms, particularly Microsoft Azure and Amazon Web Services (AWS).
Understanding of Salesforce data ingestion methods and associated APIs/tools.
Experience working with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Familiarity with analytics and visualization tools such as Power BI and Tableau.
Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
Excellent communication skills to translate technical concepts for non-technical stakeholders.
Experience with Python, Spark, or other data engineering tools/languages.
Knowledge of latest trends in AI/ML areas

About the Company

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries. Prodapt is part of t... Know more