Overview:Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.The Data Engineer will be responsible for developing and supporting database applications to drive automated data collection, storage, visualization and transformation as per business needs. The candidate will uphold Prodapt’s winning values and work in a way that contributes to the Company’s vision. Responsibilities:
Data Pipeline and Software Implementation
Implement data pipelines as per the design document
Assist in the implementation of technical systems and software, solutions • Perform Unit testing and troubleshoot
Database design, Data Modelling and Mining
Consolidate data across multiple sources and databases to make it easier to locate and access
Implement automated data collection and data storage systems
Provide database support by coding utilities, respond to and resolve user problems
Cloud Enablement
Develop and deploy applications at the direction of leads including large-scale data processing, computationally intensive statistical modeling, and advanced analytics
Data Visualization and Presentation
Write complex SQL queries (T-SQL/PL-SQL) and stored procedures
Work with multiple data systems, large relational databases, and SQL
Configure and troubleshoot visualization platforms like Power BI/Tableau
Develop for multiple platforms, including web and mobile.
Requirements:Bachelor’s degree (in any field).
MSc/BE/Masters with specialization in IT/Computer Science is desirable.
Work experience 10+ years
Adapt/Experience working in multi-channel delivery projects is desirable
Exposure to DevOps, CI/CD processes is desirable
Exposure to Data Factory, Databricks, data architecture, data integration and data manipulation at scale is desirable
Experience in Data ingestion, data pipelines and/or infrastructure automation/orchestration is desirable
• Technical knowledge in Telecom-Basics, T-SQL, PL-SQL, Tableau/ Power BI/Advanced Excel, R/SAS/ Python/Scala/Java, Azure (SQL Database, Cosmos Database, Data Lake Storage, PostgreSQL Database, Blob, Data Factory, Databricks, Analytic Tools, Stream Analytics, Synapse Analytics, Data Lake Analytics), and AWS (Analytics Services, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Openserach Services, Amazon QuickSight, AWS Glue DataBrew, Datalake, Amazon S3, Aws Lake Formation) is required.
