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8.0 - 12.0 years

0 Lacs

karnataka

On-site

Working with data on a day-to-day basis excites you, and you are interested in building robust data architecture to identify data patterns and optimize data consumption for customers who will forecast and predict actions based on data. If this excites you, then working in our intelligent automation team at Schneider AI Hub is the perfect fit for you. As a Lead Data Engineer at Schneider AI Hub, you will play a crucial role in the AI transformation of Schneider Electric by developing AI-powered solutions. Your responsibilities will include expanding and optimizing data and data pipeline architecture, ensuring optimal data flow and collection for cross-functional teams, and supporting software engineers, data analysts, and data scientists on data initiatives. You will be responsible for creating and maintaining optimal data pipeline architecture, designing the right schema to support functional requirements, and building production data pipelines from ingestion to consumption. Additionally, you will create preprocessing and postprocessing for various forms of data, develop data visualization and business intelligence tools, and implement internal process improvements for automating manual data processes. To qualify for this role, you should hold a bachelor's or master's degree in computer science, information technology, or other quantitative fields and have a minimum of 8 years of experience as a data engineer supporting large data transformation initiatives related to machine learning. Strong analytical skills, experience with Azure cloud services, ETLs using Spark, and proficiency in scripting languages like Python and Pyspark are essential requirements for this position. As a team player committed to the success of the team and projects, you will collaborate with various stakeholders to ensure data delivery architecture is consistent and secure across multiple data centers. Join us at Schneider Electric, where we create connected technologies that reshape industries, transform cities, and enrich lives, with a diverse and inclusive culture that values the contribution of every individual. If you are passionate about success and eager to contribute to cutting-edge projects, we invite you to be part of our dynamic team at Schneider Electric in Bangalore, India.,

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8.0 - 12.0 years

6 - 8 Lacs

Bengaluru, Karnataka, India

Remote

Relevant Experience: 8+ Yrs Strong SAP Datasphere hands-on experience with minimum 2 implementations Creating data models, data flows, and data integration processes Creation of remote tables, Data builder objects in Datasphere Creation of Analytical models on graphical views and used in SAC stories, reports etc. Experience on BW bridge is good-to-have. Checking feasibility and designing and developing an optimal solution for data analysis reports and tools. Hands-on experience in data warehousing and ETLs You need to have experience in SAP Analytics Cloud (SAC), of below : Creation of stories and applications based on live data. Data transformation in SAP Datasphere/SAC. Data modelling in SAP Datasphere. Prior knowledge of working with SAP HANA source systems and BW/BW on Hana/BW4Hana Should be a Team player and proactive in status reporting. Should have excellent communication skills. Must be self-motivated, responsive, and dedicated to customer success.

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