Description:

Main Responsibilities:
• Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate Client data & analytics solutions.
• Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements
• Design, implement and fine-tune analytics solutions that meet business and technical requirements
• Work collaboratively with the Client data architect to ensure data model integrity
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Create data tools for analytics and data scientist teams that assist them in building and optimising the data models and solutions
• Work with the DevOps engineer to support the consistent operation of data & analytics solutions
• Work closely with the data analysts & data scientists to design and develop APIs
• Weekly and need basis Status reporting to Client and Infosys managers
• Self-motivated,



able to work independently, and attention to details
• Curious about emerging AI trends and their implications for data engineering
7 - 12 years

Academic Qualification:
• Bachelor or Masters degree in a related field (e.g. computer science, information technology, etc.)

Professional Experience
• Total experience of 7+ years in IT Industry in DWBI.
• Experience in Azure cloud platforms and technology
• Ability to define and develop data integration patterns and pipelines
• Robust knowledge of data modelling, data warehousing, and BI concepts
• Experience with Data Lake, Databricks, Data Factory, BI Dashboard, and BI implementation projects
• At least 4 years experience in SQL/PostgreSQL, data and BI solutions with integration to 3rd party tools
• Experience working with application server software (e.g. ERP), Spark, Scala, Python, SQL scripting languages, relational databases (e.g. SQL DB/DW), NoSQL platfo

📌 Opening For Data and AI Engineer (Hyderabad)
🏢 Tekskills
📍 Hyderabad