Job Description

Job Responsibilities

• To collaborate with various teams/regions in driving facilitating data design, identifying architectural risks and key areas of improvement in data landscape, and developing and refining data models and architecture frameworks
• Being able, as part of presales, to create detailed end to end proposals based on customer requirements. This could as well include AI components such as: AI - Machine Learning, AI -Machine Vision, Gen-AI and related AI-Modeling expertise.
• Technical experience and knowledge in Cloud Data Warehousing, data migration and data transformation
• Develop and test ETL components to high standards of data quality and performance as a hands-on development lead.
• Familiarity with Databricks, Data Lakes, Data Warehouses, MDM, BI, Dashboards, AI-ML, AI-MV and Gen-AI.
• Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.) in compliance with enterprise level architecture standards.
• Experience in leading and delivering data centric projects with concentration on Data Quality and adherence to data standards and best practices.
• Experience in data modelling, metadata support, development and testing for enterprise-wide data solutions.

Must have:

• Bachelor's degree in a technical field (Comp. Science degree preferred not mandatory)
• Expertise in Power BI
• Expertise in ETL, Data architecture and Data modelling
• Expertise working in Relational and Big Data platforms, including Databricks, and large-scale distributed systems such as Spark.Expertise in Data Engineering, Data Governance, Data Quality, Data Lake, Data Warehousing and Reporting/Analytics concepts
• Expertise building Data pipelines, Data Lakes and Data Warehouses in Azure (optional as well forAWS and GCP) using Cloud services.
• Experience in designing Big Data/Cloud Solution Designs, data models.
• Knowledge of Pyspark, Shell scripting, SQL, Python & some of the standard data science packages
• Strong verbal and business communication skills.
• Good experience interfacing with customers and being able to explain end to end technical proposals.
• Nice to have: Experience in manufacturing domain (add on)
• Have at least a basic understanding of AI-ML, AI-MV and Gen-AI, AI Model development and training.

Job Type: Full-time

Pay: ?4,500,000.00 - ?5,000,000.00 per year

Schedule:

• Day shift

Experience:

• total work: 10 years (Preferred)

Work Location: In person